Delete loading script

wiki_lingua.py

@@ -1,168 +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.
-"""WikiLingua."""
-
-
-import json
-
-import datasets
-
-
-# Find for instance the citation on arxiv or on the dataset repo/website
-_CITATION = """\
-@inproceedings{ladhak-etal-2020-wikilingua,
-    title = "{W}iki{L}ingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization",
-    author = "Ladhak, Faisal  and
-      Durmus, Esin  and
-      Cardie, Claire  and
-      McKeown, Kathleen",
-    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
-    month = nov,
-    year = "2020",
-    address = "Online",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/2020.findings-emnlp.360",
-    doi = "10.18653/v1/2020.findings-emnlp.360",
-    pages = "4034--4048",
-}
-"""
-
-_DESCRIPTION = """\
-WikiLingua is a large-scale multilingual dataset for the evaluation of
-cross-lingual abstractive summarization systems. The dataset includes ~770k
-article and summary pairs in 18 languages from WikiHow. The gold-standard
-article-summary alignments across languages was done by aligning the images
-that are used to describe each how-to step in an article.
-"""
-
-_HOMEPAGE = "https://github.com/esdurmus/Wikilingua"
-
-_LICENSE = "CC BY-NC-SA 3.0"
-
-# Download link
-_URL = "data/{language}.jsonl.gz"
-_LANGUAGES = [
-    "arabic",
-    "chinese",
-    "czech",
-    "dutch",
-    "english",
-    "french",
-    "german",
-    "hindi",
-    "indonesian",
-    "italian",
-    "japanese",
-    "korean",
-    "portuguese",
-    "russian",
-    "spanish",
-    "thai",
-    "turkish",
-    "vietnamese",
-]
-
-
-class WikiLingua(datasets.GeneratorBasedBuilder):
-    """WikiLingua dataset."""
-
-    VERSION = datasets.Version("1.1.1")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name=lang,
-            version=datasets.Version("1.1.1"),
-            description=f"A subset of article-summary in {lang.capitalize()}",
-        )
-        for lang in _LANGUAGES
-    ]
-
-    DEFAULT_CONFIG_NAME = "english"
-
-    def _info(self):
-        if self.config.name == "english":
-            features = datasets.Features(
-                {
-                    "url": datasets.Value("string"),
-                    "article": datasets.Sequence(
-                        {
-                            "section_name": datasets.Value("string"),
-                            "document": datasets.Value("string"),
-                            "summary": datasets.Value("string"),
-                        }
-                    ),
-                }
-            )
-        else:
-            features = datasets.Features(
-                {
-                    "url": datasets.Value("string"),
-                    "article": datasets.Sequence(
-                        {
-                            "section_name": datasets.Value("string"),
-                            "document": datasets.Value("string"),
-                            "summary": datasets.Value("string"),
-                            "english_url": datasets.Value("string"),
-                            "english_section_name": datasets.Value("string"),
-                        }
-                    ),
-                }
-            )
-
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # This defines the different columns of the dataset and their types
-            features=features,  # Here we define them above because they are different between the two configurations
-            # Homepage of the dataset for documentation
-            homepage=_HOMEPAGE,
-            # License for the dataset if available
-            license=_LICENSE,
-            # Citation for the dataset
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        filepath = dl_manager.download_and_extract(_URL.format(language=self.config.name))
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": filepath,
-                },
-            ),
-        ]
-
-    def _process_article(self, article):
-        """Parse the article and convert into list of dict"""
-        processed_article = []
-        for key, value in article.items():
-            row = {"section_name": key, "document": value["document"], "summary": value["summary"]}
-
-            if self.config.name != "english":
-                row["english_url"] = value["english_url"]
-                row["english_section_name"] = value["english_section_name"]
-            processed_article.append(row)
-
-        return processed_article
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-        with open(filepath, "rb") as f:
-            for id_, line in enumerate(f):
-                row = json.loads(line)
-                yield id_, {"url": row["url"], "article": self._process_article(row["article"])}