Delete loading script

opus_euconst.py

@@ -1,119 +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.
-"""Euroconst: A parallel corpus collected from the European Constitution for 21 language"""
-
-
-import itertools
-import os
-
-import datasets
-
-
-_CITATION = """\
-J. Tiedemann, 2012, Parallel Data, Tools and Interfaces in OPUS. \
-In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)
-"""
-
-
-_DESCRIPTION = """\
-A parallel corpus collected from the European Constitution for 21 language.
-"""
-
-
-_HOMEPAGE = "https://opus.nlpl.eu/EUconst/corpus/version/EUconst"
-
-_LANGUAGES = [
-    "cs",
-    "da",
-    "de",
-    "el",
-    "en",
-    "es",
-    "et",
-    "fi",
-    "fr",
-    "ga",
-    "hu",
-    "it",
-    "lt",
-    "lv",
-    "mt",
-    "nl",
-    "pl",
-    "pt",
-    "sk",
-    "sl",
-    "sv",
-]
-_LANGUAGE_PAIRS = list(itertools.combinations(_LANGUAGES, 2))
-
-_BASE_URL = "https://object.pouta.csc.fi/OPUS-EUconst/v1/moses"
-_URLS = {f"{l1}-{l2}": f"{_BASE_URL}/{l1}-{l2}.txt.zip" for l1, l2 in _LANGUAGE_PAIRS}
-
-
-class OpusEuconst(datasets.GeneratorBasedBuilder):
-    """Euroconst: A parallel corpus collected from the European Constitution for 21 language"""
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name=f"{l1}-{l2}", version=datasets.Version("1.0.0"), description=f"OPUS EUconst {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"EUconst.{self.config.name}.{lang_pair[0]}"),
-                    "target_file": os.path.join(data_dir, f"EUconst.{self.config.name}.{lang_pair[1]}"),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, source_file, target_file):
-        with open(source_file, encoding="utf-8") as f:
-            source_sentences = f.read().split("\n")
-        with open(target_file, encoding="utf-8") as f:
-            target_sentences = f.read().split("\n")
-
-        assert len(target_sentences) == len(source_sentences), "Sizes do not match: %d vs %d for %s vs %s." % (
-            len(source_sentences),
-            len(target_sentences),
-            source_file,
-            target_file,
-        )
-
-        source, target = tuple(self.config.name.split("-"))
-        for idx, (l1, l2) in enumerate(zip(source_sentences, target_sentences)):
-            result = {"translation": {source: l1, target: l2}}
-            yield idx, result