eric-haibin-lin commented on a change in pull request #9986: gluon language
modeling dataset and text token reader
File path: python/mxnet/gluon/data/text/base.py
@@ -0,0 +1,99 @@
+# 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
+# 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__ = ['WordLanguageReader']
+from ..dataset import SimpleDataset
+from ..datareader import DataReader
+from .utils import flatten_samples, collate, pair
+ """Text reader that reads a whole corpus and produces samples based on
provided sample splitter
+ and word tokenizer.
+ 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.
+ seq_len : int or None
+ The length of each of the samples. If None, samples are divided
+ `sample_splitter` only, and may have variable lengths.
+ bos : str or None, default None
+ The token to add at the begining of each sentence. If None, nothing is
+ eos : str or None, default None
+ The token to add at the end of each sentence. If None, nothing is
+ pad : str or None, default None
+ The padding token to add at the end of dataset if `seq_len` is
specified and the total
+ number of tokens in the corpus don't evenly divide `seq_len`. If pad
is None or seq_len
+ is None, no padding is added. Otherwise, padding token is added to the
last sample if
+ its length is less than `seq_len`. If `pad` is None and `seq_len` is
specified, the last
+ sample is discarded if it's shorter than `seq_len`.
There seems to be many combinations.. Is it possible to add a few example?
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