nlprinceton / alacarte Goto Github PK

I'm interested in experimenting using the CRW dataset, and so I was wondering if I could get more details on how the word2vec model was trained. Was gensim used? Was it a skipgram or cbow model? What was the sampling? Epochs? Etc? I want to compare my own model, and would be interested in these details or if possible, the training code itself.

Hey,
thanks for this interesting repository!
I'm trying to experiment with the code by inducing vectors for certain words, nevertheless I run into the issue of "induction matrix dimension and word embedding dimension must be the same".
when invoking python alacarte.py testdump --source ...glove.6B/glove.6B.300d.txt --targets words.txt --corpus corpus.txt --matrix transform/6B.300d.bin, I get this issue.
The dimension of the embeddings seems fine, but the value d of the transformation file is 282. A similar problem appears with the files in other dimensions.

So am I using the script wrong? Or is there a problem with the transformation files?