Delete loading script

news_commentary.py

@@ -1,193 +0,0 @@
-# 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
-import os
-
-import datasets
-
-
-_DESCRIPTION = """\
-A parallel corpus of News Commentaries provided by WMT for training SMT. The source is taken from CASMACAT: http://www.casmacat.eu/corpus/news-commentary.html
-
-12 languages, 63 bitexts
-total number of files: 61,928
-total number of tokens: 49.66M
-total number of sentence fragments: 1.93M
-"""
-_HOMEPAGE_URL = "https://opus.nlpl.eu/News-Commentary/corpus/version/News-Commentary"
-_CITATION = """\
-@inproceedings{tiedemann-2012-parallel,
-    title = "Parallel Data, Tools and Interfaces in {OPUS}",
-    author = {Tiedemann, J{\\"o}rg},
-    editor = "Calzolari, Nicoletta  and
-      Choukri, Khalid  and
-      Declerck, Thierry  and
-      Do{\\u{g}}an, Mehmet U{\\u{g}}ur  and
-      Maegaard, Bente  and
-      Mariani, Joseph  and
-      Moreno, Asuncion  and
-      Odijk, Jan  and
-      Piperidis, Stelios",
-    booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
-    month = may,
-    year = "2012",
-    address = "Istanbul, Turkey",
-    publisher = "European Language Resources Association (ELRA)",
-    url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf",
-    pages = "2214--2218",
-}
-"""
-
-_VERSION = "11.0.0"
-_BASE_NAME = "News-Commentary.{}.{}"
-_BASE_URL = "https://object.pouta.csc.fi/OPUS-News-Commentary/v11/moses/{}-{}.txt.zip"
-
-_LANGUAGE_PAIRS = [
-    ("ar", "cs"),
-    ("ar", "de"),
-    ("cs", "de"),
-    ("ar", "en"),
-    ("cs", "en"),
-    ("de", "en"),
-    ("ar", "es"),
-    ("cs", "es"),
-    ("de", "es"),
-    ("en", "es"),
-    ("ar", "fr"),
-    ("cs", "fr"),
-    ("de", "fr"),
-    ("en", "fr"),
-    ("es", "fr"),
-    ("ar", "it"),
-    ("cs", "it"),
-    ("de", "it"),
-    ("en", "it"),
-    ("es", "it"),
-    ("fr", "it"),
-    ("ar", "ja"),
-    ("cs", "ja"),
-    ("de", "ja"),
-    ("en", "ja"),
-    ("es", "ja"),
-    ("fr", "ja"),
-    ("ar", "nl"),
-    ("cs", "nl"),
-    ("de", "nl"),
-    ("en", "nl"),
-    ("es", "nl"),
-    ("fr", "nl"),
-    ("it", "nl"),
-    ("ar", "pt"),
-    ("cs", "pt"),
-    ("de", "pt"),
-    ("en", "pt"),
-    ("es", "pt"),
-    ("fr", "pt"),
-    ("it", "pt"),
-    ("nl", "pt"),
-    ("ar", "ru"),
-    ("cs", "ru"),
-    ("de", "ru"),
-    ("en", "ru"),
-    ("es", "ru"),
-    ("fr", "ru"),
-    ("it", "ru"),
-    ("ja", "ru"),
-    ("nl", "ru"),
-    ("pt", "ru"),
-    ("ar", "zh"),
-    ("cs", "zh"),
-    ("de", "zh"),
-    ("en", "zh"),
-    ("es", "zh"),
-    ("fr", "zh"),
-    ("it", "zh"),
-    ("ja", "zh"),
-    ("nl", "zh"),
-    ("pt", "zh"),
-    ("ru", "zh"),
-]
-
-
-class NewsCommentaryConfig(datasets.BuilderConfig):
-    def __init__(self, *args, lang1=None, lang2=None, **kwargs):
-        super().__init__(
-            *args,
-            name=f"{lang1}-{lang2}",
-            **kwargs,
-        )
-        self.lang1 = lang1
-        self.lang2 = lang2
-
-
-class NewsCommentary(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        NewsCommentaryConfig(
-            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 = NewsCommentaryConfig
-
-    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):
-            return _BASE_URL.format(lang1, lang2)
-
-        download_url = _base_url(self.config.lang1, self.config.lang2)
-        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