Delete loading script

capes.py

@@ -1,98 +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.
-"""Capes: Parallel corpus of theses and dissertation abstracts in Portuguese and English from CAPES"""
-
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{soares2018parallel,
-  title={A Parallel Corpus of Theses and Dissertations Abstracts},
-  author={Soares, Felipe and Yamashita, Gabrielli Harumi and Anzanello, Michel Jose},
-  booktitle={International Conference on Computational Processing of the Portuguese Language},
-  pages={345--352},
-  year={2018},
-  organization={Springer}
-}
-"""
-
-
-_DESCRIPTION = """\
-A parallel corpus of theses and dissertations abstracts in English and Portuguese were collected from the \
-CAPES website (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) - Brazil. \
-The corpus is sentence aligned for all language pairs. Approximately 240,000 documents were \
-collected and aligned using the Hunalign algorithm.
-"""
-
-
-_HOMEPAGE = "https://sites.google.com/view/felipe-soares/datasets#h.p_kxOR6EhHm2a6"
-
-_URL = "https://ndownloader.figstatic.com/files/14015837"
-
-
-class Capes(datasets.GeneratorBasedBuilder):
-    """Capes: Parallel corpus of theses and dissertation abstracts in Portuguese and English from CAPES"""
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="en-pt",
-            version=datasets.Version("1.0.0"),
-            description="Parallel corpus of theses and dissertation abstracts in Portuguese and English from CAPES",
-        )
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {"translation": datasets.features.Translation(languages=self.config.name.split("-"))}
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        archive = dl_manager.download(_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "source_file": "en_pt.en",
-                    "target_file": "en_pt.pt",
-                    "src_files": dl_manager.iter_archive(archive),
-                    "tgt_files": dl_manager.iter_archive(archive),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, source_file, target_file, src_files, tgt_files):
-        source, target = tuple(self.config.name.split("-"))
-        for src_path, src_f in src_files:
-            if src_path == source_file:
-                for tgt_path, tgt_f in tgt_files:
-                    if tgt_path == target_file:
-                        for idx, (l1, l2) in enumerate(zip(src_f, tgt_f)):
-                            l1 = l1.decode("utf-8").strip()
-                            l2 = l2.decode("utf-8").strip()
-                            if l1 and l2:
-                                result = {"translation": {source: l1, target: l2}}
-                                yield idx, result
-                        break
-                break