Delete loading script

opus_paracrawl.py

@@ -1,155 +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 = """\
-Parallel corpora from Web Crawls collected in the ParaCrawl project.
-
-42 languages, 43 bitexts
-total number of files: 59,996
-total number of tokens: 56.11G
-total number of sentence fragments: 3.13G
-"""
-_HOMEPAGE = "http://opus.nlpl.eu/ParaCrawl.php"
-_CITATION = r"""\
-@inproceedings{banon-etal-2020-paracrawl,
-    title = "{P}ara{C}rawl: Web-Scale Acquisition of Parallel Corpora",
-    author = "Ba{\~n}{\'o}n, Marta  and
-      Chen, Pinzhen  and
-      Haddow, Barry  and
-      Heafield, Kenneth  and
-      Hoang, Hieu  and
-      Espl{\`a}-Gomis, Miquel  and
-      Forcada, Mikel L.  and
-      Kamran, Amir  and
-      Kirefu, Faheem  and
-      Koehn, Philipp  and
-      Ortiz Rojas, Sergio  and
-      Pla Sempere, Leopoldo  and
-      Ram{\'\i}rez-S{\'a}nchez, Gema  and
-      Sarr{\'\i}as, Elsa  and
-      Strelec, Marek  and
-      Thompson, Brian  and
-      Waites, William  and
-      Wiggins, Dion  and
-      Zaragoza, Jaume",
-    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
-    month = jul,
-    year = "2020",
-    address = "Online",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/2020.acl-main.417",
-    doi = "10.18653/v1/2020.acl-main.417",
-    pages = "4555--4567",
-}
-@InProceedings{TIEDEMANN12.463,
-  author = {Jörg 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 Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
-  publisher = {European Language Resources Association (ELRA)},
-  isbn = {978-2-9517408-7-7},
-  language = {english}
-}
-"""
-
-_VERSION = "9.0.0"
-_BASE_NAME = "ParaCrawl.{}.{}"
-_BASE_URL = "https://object.pouta.csc.fi/OPUS-ParaCrawl/v9/moses/{}-{}.txt.zip"
-# Please note that only few pairs are shown here. You can use config to generate data for all language pairs
-_LANGUAGE_PAIRS = [
-    ("el", "en"),
-    ("en", "km"),
-    ("en", "so"),
-    ("de", "pl"),
-    ("fr", "nl"),
-    ("en", "sw"),
-    ("en", "tl"),
-    ("es", "gl"),
-]
-
-
-class ParaCrawlConfig(datasets.BuilderConfig):
-    def __init__(self, *args, lang1=None, lang2=None, **kwargs):
-        super().__init__(
-            *args,
-            name=f"{lang1}-{lang2}",
-            **kwargs,
-        )
-        assert lang1 != lang2, "'language 1' & 'language 2' should be different from each other"
-        self.lang1 = lang1
-        self.lang2 = lang2
-
-
-class OpusParaCrawl(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        ParaCrawlConfig(
-            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 = ParaCrawlConfig
-
-    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,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        download_url = _BASE_URL.format(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):
-        lang1, lang2 = self.config.lang1, self.config.lang2
-        folder = lang1 + "-" + lang2
-        lang1_filename = _BASE_NAME.format(folder, lang1)
-        lang2_filename = _BASE_NAME.format(folder, lang2)
-        lang1_path = os.path.join(datapath, lang1_filename)
-        lang2_path = os.path.join(datapath, lang2_filename)
-        with open(lang1_path, encoding="utf-8") as f1, open(lang2_path, encoding="utf-8") as f2:
-            for id_, (lang1_sentence, lang2_sentence) in enumerate(zip(f1, f2)):
-                lang1_sentence = lang1_sentence.strip()
-                lang2_sentence = lang2_sentence.strip()
-                yield id_, {
-                    "id": str(id_),
-                    "translation": {lang1: lang1_sentence, lang2: lang2_sentence},
-                }