skip-thoughts
skip-thoughts copied to clipboard
Decoding Issue
I met problem when I tried to train the decoding model. error in decoding/homogeneous_data.py next() fuction: caps = [self.caps[ii] for ii in curr_indices] feats = [self.feats[ii] for ii in curr_indices] IndexError: list index out of range
The reason is, caps is the X,which is a large dataset; while feats is the C, which is a sample set of sentences.
I'm confused with the README in decoding part... Why it use X and C? I thought only X is enough for the training step.