szha commented on a change in pull request #9514: Language Modeling Datasets 
and Sampler
URL: https://github.com/apache/incubator-mxnet/pull/9514#discussion_r163102439
 
 

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 File path: python/mxnet/gluon/data/text.py
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+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you 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.
+
+# coding: utf-8
+# pylint: disable=
+"""Text datasets."""
+__all__ = ['WikiText2', 'WikiText103']
+
+import io
+import os
+import zipfile
+import shutil
+import numpy as np
+
+from . import dataset
+from ..utils import download, check_sha1
+from ...contrib import text
+from ... import nd
+
+
+class WikiText2(dataset._DownloadedDataset):
+    """WikiText-2 word-level dataset for language modeling, from Salesforce 
research.
+
+    From
+    
https://einstein.ai/research/the-wikitext-long-term-dependency-language-modeling-dataset
+
+    License: Creative Commons Attribution-ShareAlike
+
+    Each sample is a vector of length equal to the specified sequence length.
+    At the end of each sentence, an end-of-sentence token '<eos>' is added.
 
 Review comment:
   Even though the sentence boundary is not considered in providing sample 
chunks, it's still necessary for language model to be able to predict where 
sentence ends. In that sense, these concepts are orthogonal.

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