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Traceback (most recent call last):
File "document_summarizer_training_testing.py", line 282, in
tf.app.run()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv))
File "document_summarizer_training_testing.py", line 277, in main
train()
File "document_summarizer_training_testing.py", line 89, in train
vocab_dict, word_embedding_array = DataProcessor().prepare_vocab_embeddingdict()
File "/home/cvml/Documents/Enforcement/ReRankZip/Refresh-master/data_utils.py", line 339, in prepare_vocab_embeddingdict
embeddata = [float(item) for item in linedata[1:]][0:FLAGS.wordembed_size]
ValueError: invalid literal for float(): .0950.099540928
Our server was down for some reason. That is why you were not able to download those files. I have raised the issue. It should be up and running in few minutes.
Is your second problem related, or did I misunderstand?
I am facing issues in the word embedding vector file. Please check if it has some errors after line number 500000, and I am unable to download the new file form the link http://kinloch.inf.ed.ac.uk/public/Refresh-NAACL18-1-billion-benchmark-wordembeddings.tar.gz provided in the README.md (403 error, FORBIDDEN)
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