Delete loading script

bianet.py

@@ -1,148 +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.
-"""Bianet: A parallel news corpus in Turkish, Kurdish and English"""
-
-
-import os
-
-import datasets
-
-
-_CITATION = """\
-@InProceedings{ATAMAN18.6,
-  author = {Duygu Ataman},
-  title = {Bianet: A Parallel News Corpus in Turkish, Kurdish and English},
-  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
-  year = {2018},
-  month = {may},
-  date = {7-12},
-  location = {Miyazaki, Japan},
-  editor = {Jinhua Du and Mihael Arcan and Qun Liu and Hitoshi Isahara},
-  publisher = {European Language Resources Association (ELRA)},
-  address = {Paris, France},
-  isbn = {979-10-95546-15-3},
-  language = {english}
-  }"""
-
-_HOMEPAGE = "http://opus.nlpl.eu/Bianet.php"
-
-
-_LICENSE = "CC-BY-SA-4.0"
-
-_VALID_LANGUAGE_PAIRS = {
-    ("en", "ku"): "http://opus.nlpl.eu/download.php?f=Bianet/v1/moses/en-ku.txt.zip",
-    ("en", "tr"): "http://opus.nlpl.eu/download.php?f=Bianet/v1/moses/en-tr.txt.zip",
-    ("ku", "tr"): "http://opus.nlpl.eu/download.php?f=Bianet/v1/moses/ku-tr.txt.zip",
-}
-
-_VERSION = "1.0.0"
-
-_DESCRIPTION = """\
-A parallel news corpus in Turkish, Kurdish and English.
-Bianet collects 3,214 Turkish articles with their sentence-aligned Kurdish or English translations from the Bianet online newspaper.
-3 languages, 3 bitexts
-total number of files: 6
-total number of tokens: 2.25M
-total number of sentence fragments: 0.14M
-"""
-
-_BASE_NAME = "Bianet.{}-{}.{}"
-
-
-class BianetConfig(datasets.BuilderConfig):
-    """BuilderConfig for Bianet: A parallel news corpus in Turkish, Kurdish and English"""
-
-    def __init__(self, language_pair=(None, None), **kwargs):
-        """BuilderConfig for Bianet: A parallel news corpus in Turkish, Kurdish and English.
-        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(BianetConfig, 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 Bianet(datasets.GeneratorBasedBuilder):
-
-    BUILDER_CONFIGS = [
-        BianetConfig(
-            language_pair=pair,
-        )
-        for pair in _VALID_LANGUAGE_PAIRS.keys()
-    ]
-
-    BUILDER_CONFIG_CLASS = BianetConfig
-
-    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