@ -31,6 +31,7 @@ LSTM contains embeding, encoder and decoder modules. Encoder module consists of
# [Dataset](#contents)
Note that you can run the scripts based on the dataset mentioned in original paper or widely used in relevant domain/network architecture. In the following sections, we will introduce how to run the scripts using the related dataset below.
- aclImdb_v1 for training evaluation.[Large Movie Review Dataset](http://ai.stanford.edu/~amaas/data/sentiment/)
- GloVe: Vector representations for words.[GloVe: Global Vectors for Word Representation](https://nlp.stanford.edu/projects/glove/)