Delete loading script

dbpedia_14.py

@@ -1,150 +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.
-"""The DBpedia dataset for text classification."""
-
-
-import csv
-
-import datasets
-
-
-# TODO: Add BibTeX citation
-# Find for instance the citation on arxiv or on the dataset repo/website
-_CITATION = """\
-@article{lehmann2015dbpedia,
-  title={DBpedia--a large-scale, multilingual knowledge base extracted from Wikipedia},
-  author={Lehmann, Jens and Isele, Robert and Jakob, Max and Jentzsch, Anja and Kontokostas,
-  Dimitris and Mendes, Pablo N and Hellmann, Sebastian and Morsey, Mohamed and Van Kleef,
-  Patrick and Auer, S{\"o}ren and others},
-  journal={Semantic web},
-  volume={6},
-  number={2},
-  pages={167--195},
-  year={2015},
-  publisher={IOS Press}
-}
-"""
-
-_DESCRIPTION = """\
-The DBpedia ontology classification dataset is constructed by picking 14 non-overlapping classes
-from DBpedia 2014. They are listed in classes.txt. From each of thse 14 ontology classes, we
-randomly choose 40,000 training samples and 5,000 testing samples. Therefore, the total size
-of the training dataset is 560,000 and testing dataset 70,000.
-There are 3 columns in the dataset (same for train and test splits), corresponding to class index
-(1 to 14), title and content. The title and content are escaped using double quotes ("), and any
-internal double quote is escaped by 2 double quotes (""). There are no new lines in title or content.
-"""
-
-_HOMEPAGE = "https://wiki.dbpedia.org/develop/datasets"
-
-_LICENSE = "Creative Commons Attribution-ShareAlike 3.0 and the GNU Free Documentation License"
-
-_URLs = {
-    "dbpedia_14": "https://s3.amazonaws.com/fast-ai-nlp/dbpedia_csv.tgz",
-}
-
-
-class DBpedia14Config(datasets.BuilderConfig):
-    """BuilderConfig for DBpedia."""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for DBpedia.
-
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(DBpedia14Config, self).__init__(**kwargs)
-
-
-class DBpedia14(datasets.GeneratorBasedBuilder):
-    """DBpedia 2014 Ontology Classification Dataset."""
-
-    VERSION = datasets.Version("2.0.0")
-
-    BUILDER_CONFIGS = [
-        DBpedia14Config(
-            name="dbpedia_14", version=VERSION, description="DBpedia 2014 Ontology Classification Dataset."
-        ),
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "label": datasets.features.ClassLabel(
-                    names=[
-                        "Company",
-                        "EducationalInstitution",
-                        "Artist",
-                        "Athlete",
-                        "OfficeHolder",
-                        "MeanOfTransportation",
-                        "Building",
-                        "NaturalPlace",
-                        "Village",
-                        "Animal",
-                        "Plant",
-                        "Album",
-                        "Film",
-                        "WrittenWork",
-                    ]
-                ),
-                "title": datasets.Value("string"),
-                "content": datasets.Value("string"),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        my_urls = _URLs[self.config.name]
-        archive = dl_manager.download(my_urls)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": "dbpedia_csv/train.csv",
-                    "files": dl_manager.iter_archive(archive),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": "dbpedia_csv/test.csv",
-                    "files": dl_manager.iter_archive(archive),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath, files):
-        """Yields examples."""
-
-        for path, f in files:
-            if path == filepath:
-                lines = (line.decode("utf-8") for line in f)
-                data = csv.reader(lines, delimiter=",", quoting=csv.QUOTE_NONNUMERIC)
-                for id_, row in enumerate(data):
-                    yield id_, {
-                        "title": row[1],
-                        "content": row[2],
-                        "label": int(row[0]) - 1,
-                    }
-                break