Delete loading script

un_multi.py

@@ -1,111 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The 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.
-"""MultiUN: Multilingual UN Parallel Text 2000—2009"""
-
-
-import itertools
-import os
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{eisele-chen-2010-multiun,
-    title = "{M}ulti{UN}: A Multilingual Corpus from United Nation Documents",
-    author = "Eisele, Andreas  and
-      Chen, Yu",
-    booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10)",
-    month = may,
-    year = "2010",
-    address = "Valletta, Malta",
-    publisher = "European Language Resources Association (ELRA)",
-    url = "http://www.lrec-conf.org/proceedings/lrec2010/pdf/686_Paper.pdf",
-    abstract = "This paper describes the acquisition, preparation and properties of a corpus extracted from the official documents of the United Nations (UN). This corpus is available in all 6 official languages of the UN, consisting of around 300 million words per language. We describe the methods we used for crawling, document formatting, and sentence alignment. This corpus also includes a common test set for machine translation. We present the results of a French-Chinese machine translation experiment performed on this corpus.",
-}
-
-@InProceedings{TIEDEMANN12.463,
-  author = {J�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},
-}
-"""
-
-
-_DESCRIPTION = """\
-This is a collection of translated documents from the United Nations. \
-This corpus is available in all 6 official languages of the UN, \
-consisting of around 300 million words per language
-"""
-
-
-# Original:
-# _HOMEPAGE = "http://www.euromatrixplus.net/multi-un/"
-_HOMEPAGE = "https://opus.nlpl.eu/MultiUN/corpus/version/MultiUN"
-
-_LANGUAGES = ["ar", "de", "en", "es", "fr", "ru", "zh"]
-_LANGUAGE_PAIRS = list(itertools.combinations(_LANGUAGES, 2))
-
-_BASE_URL = "https://object.pouta.csc.fi/OPUS-MultiUN/v1/moses"
-_URLS = {f"{l1}-{l2}": f"{_BASE_URL}/{l1}-{l2}.txt.zip" for l1, l2 in _LANGUAGE_PAIRS}
-
-
-class UnMulti(datasets.GeneratorBasedBuilder):
-    """MultiUN: Multilingual UN Parallel Text 2000—2009"""
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name=f"{l1}-{l2}", version=datasets.Version("1.0.0"), description=f"MultiUN {l1}-{l2}")
-        for l1, l2 in _LANGUAGE_PAIRS
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {"translation": datasets.features.Translation(languages=tuple(self.config.name.split("-")))}
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        lang_pair = self.config.name.split("-")
-        data_dir = dl_manager.download_and_extract(_URLS[self.config.name])
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "source_file": os.path.join(data_dir, f"MultiUN.{self.config.name}.{lang_pair[0]}"),
-                    "target_file": os.path.join(data_dir, f"MultiUN.{self.config.name}.{lang_pair[1]}"),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, source_file, target_file):
-        source, target = tuple(self.config.name.split("-"))
-        with open(source_file, encoding="utf-8") as src_f, open(target_file, encoding="utf-8") as tgt_f:
-            for idx, (l1, l2) in enumerate(zip(src_f, tgt_f)):
-                result = {"translation": {source: l1.strip(), target: l2.strip()}}
-                yield idx, result