szha commented on a change in pull request #9986: gluon language modeling 
dataset and text token reader
URL: https://github.com/apache/incubator-mxnet/pull/9986#discussion_r172316324
 
 

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 File path: python/mxnet/gluon/data/text/base.py
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 @@ -0,0 +1,89 @@
+# 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=
+
+"""Base classes for text datasets and readers."""
+
+__all__ = ['TextTokenReader']
+
+import io
+import os
+
+from ..dataset import Dataset
+from ..datareader import DataReader
+
+class TextTokenReader(DataReader):
+    """Text reader that produces lists of tokens.
+
+    Parameters
+    ----------
+    filename : str
+        Path to the input text file.
+    encoding : str, default 'utf8'
+        File encoding format.
+    sample_splitter : function, default str.splitlines
+        A function that splits the dataset string into samples.
+    tokenizer : function, default str.split
+        A function that splits each sample string into list of tokens.
+    bos : str or None, default None
+        The token to add at the begining of each sentence. If None, nothing is 
added.
+    eos : str or None, default None
+        The token to add at the end of each sentence. If None, nothing is 
added.
+    """
+    def __init__(self, filename, encoding='utf8', sample_splitter=lambda s: 
s.splitlines(),
+                 tokenizer=lambda s: s.split(), bos=None, eos=None):
+        filename = os.path.expanduser(filename)
+        with io.open(filename, 'r', encoding=encoding) as fin:
+            content = fin.read()
+
+        samples = [s for s in [tokenizer(x) for x in sample_splitter(content)] 
if s]
+        if bos or eos:
+            for tokens in samples:
+                if bos:
+                    tokens.insert(0, bos)
+                if eos:
+                    tokens.append(eos)
+
+        self._samples = samples
+
+    def __len__(self):
+        return self._samples.__len__
+
+    def __getitem__(self, idx):
+        return self._samples[idx]
+
+class TextDataset(Dataset):
+    """Abstract dataset class for text data.
+
+    Subclasses need to override `__getitem__`, which returns the i-th
+    element, and `__len__`, which returns the total number elements."""
+
+    def __getitem__(self, idx):
+        raise NotImplementedError
+
+    def __len__(self):
+        raise NotImplementedError
+
+    def _flatten(self, samples):
 
 Review comment:
   I will organize these as utils and get rid of TextDataset then.

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