Delete loading script

scielo.py

@@ -1,121 +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.
-"""Parallel corpus of full-text articles in Portuguese, English and Spanish from SciELO"""
-
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{soares2018large,
-  title={A Large Parallel Corpus of Full-Text Scientific Articles},
-  author={Soares, Felipe and Moreira, Viviane and Becker, Karin},
-  booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018)},
-  year={2018}
-}
-"""
-
-
-_DESCRIPTION = """\
-A parallel corpus of full-text scientific articles collected from Scielo database in the following languages: \
-English, Portuguese and Spanish. The corpus is sentence aligned for all language pairs, \
-as well as trilingual aligned for a small subset of sentences. Alignment was carried out using the Hunalign algorithm.
-"""
-
-
-_HOMEPAGE = "https://sites.google.com/view/felipe-soares/datasets#h.p_92uSCyAjWSRB"
-
-_LANGUAGES = ["en-es", "en-pt", "en-pt-es"]
-
-_URLS = {
-    "en-es": "https://ndownloader.figstatic.com/files/14019287",
-    "en-pt": "https://ndownloader.figstatic.com/files/14019308",
-    "en-pt-es": "https://ndownloader.figstatic.com/files/14019293",
-}
-
-
-class Scielo(datasets.GeneratorBasedBuilder):
-    """Parallel corpus of full-text articles in Portuguese, English and Spanish from SciELO"""
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="en-es", version=datasets.Version("1.0.0"), description="English-Spanish"),
-        datasets.BuilderConfig(name="en-pt", version=datasets.Version("1.0.0"), description="English-Portuguese"),
-        datasets.BuilderConfig(
-            name="en-pt-es", version=datasets.Version("1.0.0"), description="English-Portuguese-Spanish"
-        ),
-    ]
-
-    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."""
-        archive = dl_manager.download(_URLS[self.config.name])
-        lang_pair = self.config.name.split("-")
-        fname = self.config.name.replace("-", "_")
-
-        if self.config.name == "en-pt-es":
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    gen_kwargs={
-                        "source_file": f"{fname}.en",
-                        "target_file": f"{fname}.pt",
-                        "target_file_2": f"{fname}.es",
-                        "files": dl_manager.iter_archive(archive),
-                    },
-                ),
-            ]
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "source_file": f"{fname}.{lang_pair[0]}",
-                    "target_file": f"{fname}.{lang_pair[1]}",
-                    "files": dl_manager.iter_archive(archive),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, source_file, target_file, files, target_file_2=None):
-        for path, f in files:
-            if path == source_file:
-                source_sentences = f.read().decode("utf-8").split("\n")
-            elif path == target_file:
-                target_sentences = f.read().decode("utf-8").split("\n")
-            elif self.config.name == "en-pt-es" and path == target_file_2:
-                target_sentences_2 = f.read().decode("utf-8").split("\n")
-
-        if self.config.name == "en-pt-es":
-            source, target, target_2 = tuple(self.config.name.split("-"))
-            for idx, (l1, l2, l3) in enumerate(zip(source_sentences, target_sentences, target_sentences_2)):
-                result = {"translation": {source: l1, target: l2, target_2: l3}}
-                yield idx, result
-        else:
-            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