Comments (14)
Man, how difficult to set up do you want it to be?
This task is memory-constrained, so I think it would actually run much worse on a GPU.
from conceptnet-numberbatch.
In this build process, the labels will appear in build-data/combo840.standardized.conceptnet5.labels
and the vectors in build-data/combo840.l1.standardized.conceptnet5.npy
. The filenames are elaborate because this repository builds many different variations of the system to compare in an evaluation.
There is also a new build process that's part of the conceptnet5 repository, which will give you more up-to-date vectors in data/vectors/numberbatch.h5
, as well as the tools you need to look up ConceptNet nodes in that vector space.
from conceptnet-numberbatch.
Thank you - my problem is that I can't find any build-data folder in the repository and so I am not sure where to find these files... would you be able to guid me in this?
from conceptnet-numberbatch.
That's where the files created by ninja
go.
What happened when you ran ninja
in the code/
directory? Did it crash?
from conceptnet-numberbatch.
so I've been running the 16.04 branch....it basically runs through build_conceptnet_retrofitting() which is called in ninja.py. But there's only a source_data folder, I can't find a build_data folder...
from conceptnet-numberbatch.
Oh. You haven't run the build yet.
Running ninja.py
outputs a file called build.ninja
, which contains instructions to the Ninja build system (https://ninja-build.org/) for how to build ConceptNet Numberbatch. After that, you run ninja
to actually run the build.
from conceptnet-numberbatch.
Yes I did run ninja as well... like i ran ninja.py and then I ran ninja but I don't get any new outputs...
from conceptnet-numberbatch.
I actually get the error:
Importerror: cannot import ninja from ninja
from conceptnet-numberbatch.
Can you copy and paste the actual output, please?
from conceptnet-numberbatch.
What's particularly peculiar about saying you got "Importerror: cannot import ninja from ninja" is that it looks almost like a Python error, and this makes me doubt you're actually running Ninja, which is written in C++.
from conceptnet-numberbatch.
I actually don't have that error anymore...when I run ninja it gives the following output:
log: warning: no configuration file specified, using default values
log: ninja version 0.1.3 initializing
log: magic group: gid=0 (wheel)
log: entering main loop
log: generating initial pid array..
log: now monitoring process activity
How long would it take for it to complete? It's been running for > 1 hour now.
from conceptnet-numberbatch.
It should take a day or so. Keep in mind that this process runs all the conditions of the experiment.
from conceptnet-numberbatch.
okay thank you!
from conceptnet-numberbatch.
Is it GPU enabled?
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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