Delete loading script

ar_res_reviews.py

@@ -1,85 +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.
-"""Dataset of 8364 restaurant reviews scrapped from qaym.com in Arabic for sentiment analysis"""
-
-
-import csv
-
-import datasets
-
-
-_CITATION = """\
-@InProceedings{10.1007/978-3-319-18117-2_2,
-author="ElSahar, Hady
-and El-Beltagy, Samhaa R.",
-editor="Gelbukh, Alexander",
-title="Building Large Arabic Multi-domain Resources for Sentiment Analysis",
-booktitle="Computational Linguistics and Intelligent Text Processing",
-year="2015",
-publisher="Springer International Publishing",
-address="Cham",
-pages="23--34",
-isbn="978-3-319-18117-2"
-}
-"""
-
-_DESCRIPTION = """\
-Dataset of 8364 restaurant reviews scrapped from qaym.com in Arabic for sentiment analysis
-"""
-
-_HOMEPAGE = "https://github.com/hadyelsahar/large-arabic-sentiment-analysis-resouces"
-
-_DOWNLOAD_URL = (
-    "https://raw.githubusercontent.com/hadyelsahar/large-arabic-sentiment-analysis-resouces/master/datasets/RES1.csv"
-)
-
-
-class ArResReviews(datasets.GeneratorBasedBuilder):
-    """Dataset of 8364 restaurant reviews in Arabic for sentiment analysis"""
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "polarity": datasets.ClassLabel(names=["negative", "positive"]),
-                    "text": datasets.Value("string"),
-                    "restaurant_id": datasets.Value("string"),
-                    "user_id": datasets.Value("string"),
-                }
-            ),
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        data_dir = dl_manager.download_and_extract(_DOWNLOAD_URL)
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_dir}),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Generate arabic restaurant reviews examples."""
-        with open(filepath, encoding="utf-8") as csv_file:
-            next(csv_file)
-            csv_reader = csv.reader(
-                csv_file, quotechar='"', delimiter=",", quoting=csv.QUOTE_ALL, skipinitialspace=True
-            )
-            for id_, row in enumerate(csv_reader):
-                polarity, text, restaurant_id, user_id = row
-                polarity = "negative" if polarity == "-1" else "positive"
-                yield id_, {"polarity": polarity, "text": text, "restaurant_id": restaurant_id, "user_id": user_id}