Encoding Error

[ProxyCausal]

Getting this error when I try to run sif_embeddings, but I think the issue is with data io.
How are the files supplied meant to be used, besides running the demo? I'd like to use SIF for evaluating similarity of sentences I supply. There is no training needed if I were to just use the Glove embeddings correct? What are the neural nets in src used for then?

Thanks!

File "C:\Users\gdev\git\SIF\examples\sif_embedding.py", line 13, in <module>
    (words, We) = data_io.getWordmap(wordfile)
  File "../src\data_io.py", line 12, in getWordmap
    lines = f.readlines()
  File "C:\ProgramData\Anaconda3\lib\encodings\cp1252.py", line 23, in decode
    return codecs.charmap_decode(input,self.errors,decoding_table)[0]
UnicodeDecodeError: 'charmap' codec can't decode byte 0x90 in position 962: character maps to <undefined>

[ProxyCausal]

Trying UTF-8:

File "../src\data_io.py", line 18, in getWordmap
    v.append(float(i[j]))
ValueError: could not convert string to float: '.'

[ProxyCausal]

sorry this was already solved in post #19