Comments (4)
It might be an issue with the version of the dataset I uploaded. I'll check.
from conceptnet-numberbatch.
I just re-downloaded the 600d dataset and, while there are zero-vectors, there are only 5882 of them, which is identical to the number of zero vectors in the version I evaluated for the paper.
This narrows it down: either I made a mistake truncating the 600d vectors to 300d, and you downloaded the 300d version; or you made a mistake in post-processing the data. Can you tell me more specifically what you did?
from conceptnet-numberbatch.
Confirmed that the 300d version, as uploaded, has the same 5882 zero-vectors. The error is in something you did with the data, I'd say.
from conceptnet-numberbatch.
Thanks, I'll work it out!
Thanks for the dataset also! It's extremely interesting to play around with it!
from conceptnet-numberbatch.
Related Issues (20)
- Wrong link in readme HOT 1
- Using the pretrained term vectors HOT 1
- Common word subset HOT 2
- Lemmatization for SNLI HOT 4
- Predict output word
- Sorting by occurrence count HOT 2
- Accuracy issues HOT 4
- Will there be a new version of Numberbatch? HOT 4
- @paper is not recognized while importing citation HOT 3
- conceptnet entities not present in the embeddings HOT 1
- KeyError: "word 'coffee_pot' not in vocabulary" HOT 5
- download of english version not available HOT 1
- training script for embedding
- Embedding for other dimensions: 50, 100 and 200 HOT 2
- Error when ninja : Shape mismatch in assignement HOT 1
- Do all versions occupy the same vector space?
- Spelling Error in README HOT 1
- meaning of number of # characters in subwords? HOT 4
- Can i use embeddings in closed source game (trough rest server)?
- ignore
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from conceptnet-numberbatch.