import from S3

python-lines.py

@@ -0,0 +1,95 @@
+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# 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.
+
+# Lint as: python3
+"""News headlines and categories dataset."""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+
+import datasets
+
+
+_DESCRIPTION = """\
+Dataset of single lines of Python code taken from the [CodeSearchNet](https://github.com/github/CodeSearchNet) dataset.
+
+Context
+
+This dataset allows checking the validity of Variational-Autoencoder latent spaces by testing what percentage of random/intermediate latent points can be greedily decoded into valid Python code.
+
+Content
+
+Each row has a parsable line of source code.
+{'text': '{python source code line}'}
+
+Most lines are < 100 characters while all are under 125 characters.
+
+Contains 2.6 million lines.
+
+All code is in parsable into a python3 ast.
+
+"""
+
+_CITATION = """\
+@dataset{dataset,
+    author = {Fraser Greenlee},
+    year = {2020},
+    month = {12},
+    pages = {},
+    title = {Python single line dataset.},
+    doi = {}
+}
+"""
+
+_TRAIN_DOWNLOAD_URL = "https://raw.githubusercontent.com/Fraser-Greenlee/my-huggingface-datasets/master/data/python-lines/train.jsonl"
+_TEST_DOWNLOAD_URL = "https://raw.githubusercontent.com/Fraser-Greenlee/my-huggingface-datasets/master/data/python-lines/test.jsonl"
+_VALIDATION_DOWNLOAD_URL = "https://raw.githubusercontent.com/Fraser-Greenlee/my-huggingface-datasets/master/data/python-lines/valid.jsonl"
+
+
+class PythonLines(datasets.GeneratorBasedBuilder):
+    """Python lines dataset."""
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    'text': datasets.Value("string"),
+                }
+            ),
+            homepage="https://github.com/Fraser-Greenlee/my-huggingface-datasets",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        train_path = dl_manager.download_and_extract(_TRAIN_DOWNLOAD_URL)
+        test_path = dl_manager.download_and_extract(_TEST_DOWNLOAD_URL)
+        validation_path = dl_manager.download_and_extract(_VALIDATION_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}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": validation_path}),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Generate examples."""
+        with open(filepath, encoding="utf-8") as json_lines_file:
+            data = []
+            for line in json_lines_file:
+                data.append(json.loads(line))
+
+            for id_, row in enumerate(data):
+                yield id_, row