Upload c4_200m.py

c4_200m.py

@@ -0,0 +1,95 @@
+# 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],
+                    }