-The demo.sh scipt downloads a small corpus, consisting of the first 100M characters of Wikipedia. It collects unigram counts, constructs and shuffles cooccurrence data, and trains a simple version of the GloVe model. It also runs a word analogy evaluation script in python to verify word vector quality. More details about training on your own corpus can be found by reading [demo.sh](https://github.com/stanfordnlp/GloVe/blob/master/demo.sh) or the [src/README.md](https://github.com/stanfordnlp/GloVe/tree/master/src)
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