loading code

.gitignore

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+.vscode
+*.pyc
+venv

README.md

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+# Wiki Sentences
+
+A dataset of all the sentences in Wikipedia.
+
+Filtered to only include sentences <=64 characters.
+
+Taken from the OPTIMUS project. https://github.com/ChunyuanLI/Optimus/blob/master/download_datasets.md

wiki_sentences.py

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+from __future__ import absolute_import, division, print_function
+
+from typing import List
+
+import datasets
+
+
+DESCRIPTION = open('README.md', 'r').read()
+
+
+DOWNLOAD_URL = "https://textae.blob.core.windows.net/optimus/data/datasets/wikipedia.segmented.nltk.txt"
+
+
+class WikiSentences(datasets.GeneratorBasedBuilder):
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=DESCRIPTION,
+            features=datasets.Features(
+                {
+                    'text': datasets.Value("string"),
+                }
+            ),
+            homepage="https://github.com/ChunyuanLI/Optimus/blob/master/download_datasets.md",
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        path = dl_manager.download(DOWNLOAD_URL)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": path}),
+        ]
+
+    def _generate_examples(self, filepath):
+        with open(filepath, encoding="utf-8") as txt_file:
+            for i, line in enumerate(txt_file):
+                line = line.strip()
+                if len(line) <= 64:
+                    yield i, {"text": line}