Further refactoring of train.py.

README.md

@@ -8,7 +8,7 @@ man -> woman             |  city -> zip | comparative -> superlative
 :-------------------------:|:-------------------------:|:-------------------------:|:-------------------------:|
 ![](http://nlp.stanford.edu/projects/glove/images/man_woman_small.jpg)  |   ![](http://nlp.stanford.edu/projects/glove/images/city_zip_small.jpg) |  ![](http://nlp.stanford.edu/projects/glove/images/comparative_superlative_small.jpg)
 
-We provide an implementation of the GloVe model for learning word representations. Please see the [project page](http://nlp.stanford.edu/projects/glove/) for more information on the paper.
+We provide an implementation of the GloVe model for learning word representations, and describe how to download web-dataset vectors or train your own. See the [project page](http://nlp.stanford.edu/projects/glove/) or [paper](http://nlp.stanford.edu/pubs/glove.pdf) as well for more information on glove vectors.
 
 ## Download pre-trained word vectors
 The links below contain word vectors obtained from the respective corpora. If you want word vectors trained on massive web datasets, you need only download one of these text files! Pre-trained word vectors are made available under the <a href="http://opendatacommons.org/licenses/pddl/">Public Domain Dedication and License</a>.