Delete loading script

un_ga.py

@@ -1,154 +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.
-"""United nations general assembly resolutions: A six-language parallel corpus"""
-
-
-import os
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{title = "United Nations General Assembly Resolutions: a six-language parallel corpus",
-abstract = "In this paper we describe a six-ways parallel public-domain corpus consisting of 2100 United Nations General Assembly Resolutions with translations in the six official languages of the United Nations, with an average of around 3 million tokens per language. The corpus is available in a preprocessed, formatting-normalized TMX format with paragraphs aligned across multiple languages. We describe the background to the corpus and its content, the process of its construction, and some of its interesting properties.",
-author = "Alexandre Rafalovitch and Robert Dale",
-year = "2009",
-language = "English",
-booktitle = "MT Summit XII proceedings",
-publisher = "International Association of Machine Translation",
-}"""
-
-_HOMEPAGE = "http://opus.nlpl.eu/UN.php"
-
-
-_LICENSE = ""
-
-_VALID_LANGUAGE_PAIRS = {
-    ("ar", "en"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ar-en.txt.zip",
-    ("ar", "es"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ar-es.txt.zip",
-    ("ar", "fr"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ar-fr.txt.zip",
-    ("ar", "ru"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ar-ru.txt.zip",
-    ("ar", "zh"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ar-zh.txt.zip",
-    ("en", "es"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/en-es.txt.zip",
-    ("en", "fr"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/en-fr.txt.zip",
-    ("en", "ru"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/en-ru.txt.zip",
-    ("en", "zh"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/en-zh.txt.zip",
-    ("es", "fr"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/es-fr.txt.zip",
-    ("es", "ru"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/es-ru.txt.zip",
-    ("es", "zh"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/es-zh.txt.zip",
-    ("fr", "ru"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/fr-ru.txt.zip",
-    ("fr", "zh"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/fr-zh.txt.zip",
-    ("ru", "zh"): "http://opus.nlpl.eu/download.php?f=UN/v20090831/moses/ru-zh.txt.zip",
-}
-
-_VERSION = "2.0.0"
-
-_DESCRIPTION = """\
-United nations general assembly resolutions: A six-language parallel corpus.
-This is a collection of translated documents from the United Nations originally compiled into a translation memory by Alexandre Rafalovitch, Robert Dale (see http://uncorpora.org).
-6 languages, 15 bitexts
-total number of files: 6
-total number of tokens: 18.87M
-total number of sentence fragments: 0.44M
-"""
-
-_BASE_NAME = "UN.{}-{}.{}"
-
-
-class UnGaConfig(datasets.BuilderConfig):
-    """BuilderConfig for United nations general assembly resolutions: A six-language parallel corpus"""
-
-    def __init__(self, language_pair=(None, None), **kwargs):
-        """BuilderConfig for United nations general assembly resolutions: A six-language parallel corpus.
-        The first language in `language_pair` should consist of two strings joined by
-        an underscore (e.g. "en-tr").
-        Args:
-          language_pair: pair of languages that will be used for translation.
-          **kwargs: keyword arguments forwarded to super.
-        """
-        name = "%s_to_%s" % (language_pair[0], language_pair[1])
-
-        description = ("Translation dataset from %s to %s or %s to %s.") % (
-            language_pair[0],
-            language_pair[1],
-            language_pair[1],
-            language_pair[0],
-        )
-        super(UnGaConfig, self).__init__(
-            name=name, description=description, version=datasets.Version(_VERSION, ""), **kwargs
-        )
-
-        # Validate language pair.
-        assert language_pair in _VALID_LANGUAGE_PAIRS, (
-            "Config language pair (%s, " "%s) not supported"
-        ) % language_pair
-
-        self.language_pair = language_pair
-
-
-class UnGa(datasets.GeneratorBasedBuilder):
-
-    BUILDER_CONFIGS = [
-        UnGaConfig(
-            language_pair=pair,
-        )
-        for pair in _VALID_LANGUAGE_PAIRS.keys()
-    ]
-
-    BUILDER_CONFIG_CLASS = UnGaConfig
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "translation": datasets.Translation(languages=tuple(self.config.language_pair)),
-                },
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        download_url = _VALID_LANGUAGE_PAIRS.get(tuple(self.config.language_pair))
-        path = dl_manager.download_and_extract(download_url)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={"datapath": path},
-            )
-        ]
-
-    def _generate_examples(self, datapath):
-        lang1, lang2 = self.config.language_pair
-        lang1_file = _BASE_NAME.format(lang1, lang2, lang1)
-        lang2_file = _BASE_NAME.format(lang1, lang2, lang2)
-        lang1_path = os.path.join(datapath, lang1_file)
-        lang2_path = os.path.join(datapath, lang2_file)
-
-        with open(lang1_path, encoding="utf-8") as f1, open(lang2_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": {lang1: x, lang2: y},
-                    },
-                )
-                yield result