Delete long-summarization-persian.py

long-summarization-persian.py

@@ -1,92 +0,0 @@
-# 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.
-
-
-import csv
-import os
-
-import datasets
-
-
-_DESCRIPTION = """\
-This new dataset is designed to solve persian long summarization tasks.
-"""
-
-_URL = "./"
-
-class long_summarization_persianConfig(datasets.BuilderConfig):
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for long_summarization_persian.
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(long_summarization_persianConfig, self).__init__(**kwargs)
-
-class long_summarization_persian(datasets.GeneratorBasedBuilder):
-
-    BUILDER_CONFIGS = [
-        long_summarization_persianConfig(
-            name="long_summarization_persian",
-            version=datasets.Version("1.0.0"),
-            description="long_summarization_persian dataset",
-        ),
-    ]
-
-    def _info(self):
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "article": datasets.Value("string"),
-                    "summary": datasets.Value("string")
-                }
-            ),
-        )
-
-    def _split_generators(self, dl_manager):
-        urls_to_download = {
-            "train": f"{_URL}train.csv",
-            "test": f"{_URL}test.csv",
-            "validation": f"{_URL}validation.csv",
-        }
-        downloaded_files = dl_manager.download_and_extract(urls_to_download)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={"filepath": downloaded_files["validation"]},
-            ),
-        ]
-
-
-    def _generate_examples(self, filepath):
-        """This function returns the examples in the raw (text) form."""
-        with open(filepath, encoding="utf-8") as f:
-            data = csv.DictReader(f)
-            for id_, article in enumerate(data):
-                article = article["article"]
-                summary = article["summary"]
-                yield id_, {
-                    "article": article,
-                    "summary": summary,
-                }