Delete loading script

kor_sarcasm.py

@@ -1,77 +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.
-"""Korean Sarcasm Detection Dataset"""
-
-
-import csv
-
-import datasets
-from datasets.tasks import TextClassification
-
-
-_DESCRIPTION = """\
-This is a dataset designed to detect sarcasm in Korean because it distorts the literal meaning of a sentence
-and is highly related to sentiment classification.
-"""
-
-_HOMEPAGE = "https://github.com/SpellOnYou/korean-sarcasm"
-
-_LICENSE = "MIT License"
-
-_TRAIN_DOWNLOAD_URL = "https://raw.githubusercontent.com/SpellOnYou/korean-sarcasm/master/data/jiwon/train.csv"
-_TEST_DOWNLOAD_URL = "https://raw.githubusercontent.com/SpellOnYou/korean-sarcasm/master/data/jiwon/test.csv"
-
-
-class KorSarcasm(datasets.GeneratorBasedBuilder):
-    """Korean Sarcasm Detection Dataset"""
-
-    VERSION = datasets.Version("1.1.0")
-
-    def _info(self):
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "tokens": datasets.Value("string"),
-                    "label": datasets.features.ClassLabel(names=["no_sarcasm", "sarcasm"]),
-                }
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            task_templates=[TextClassification(text_column="tokens", label_column="label")],
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL)
-        test_path = dl_manager.download_and_extract(_TEST_DOWNLOAD_URL)
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Generate Korean sarcasm examples"""
-
-        with open(filepath, encoding="utf-8") as csv_file:
-            data = csv.reader(csv_file, delimiter=",")
-            next(data, None)
-            for id_, row in enumerate(data):
-                row = row[1:3]
-                tokens, label = row
-                yield id_, {"tokens": tokens, "label": int(label)}