Delete C4_200M.py

C4_200M.py

@@ -1,95 +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.
-"""TODO: Add a description here."""
-
-
-import csv
-import glob
-import os
-
-import datasets
-
-
-# TODO: Add BibTeX citation
-# Find for instance the citation on arxiv or on the dataset repo/website
-_CITATION = """\
-@InProceedings{huggingface:dataset,
-title = {A great new dataset},
-author={huggingface, Inc.
-},
-year={2020}
-}
-"""
-
-_DESCRIPTION = """\
-GEC Dataset Generated from C4
-"""
-
-_HOMEPAGE = "https://www.kaggle.com/a0155991rliwei/c4-200m"
-
-_LICENSE = ""
-
-_URL = "data/data.zip"
-
-
-class C4200M(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-    DEFAULT_CONFIG_NAME = "train"
-    
-    def _info(self):
-        features = datasets.Features(
-                {
-                    "text": datasets.Value("string"),
-                    "summary": 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."""
-        data_dir = dl_manager.download_and_extract(_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": data_dir,
-                },
-            ),
-        ]
-
-    def _generate_examples(
-        self, filepath
-    ):
-        """ Yields examples as (key, example) tuples. """
-        def fix_nulls(s):
-            for line in s:
-                yield line.replace('\0', ' ')
-
-        path = filepath + "/*.tsv*"
-        for filename in glob.glob(path):
-            with open(filename, encoding="utf-8") as f:
-                reader = csv.reader(fix_nulls(f), delimiter="\t", quoting=csv.QUOTE_NONE)
-                for id_, row in enumerate(reader):
-                    yield id_, {
-                        "text": row[0],
-                        "summary": row[1],
-                    }