localminimum
commented
6 years ago Hi @charu-iitm , are you using a custom word vector? If so, please make sure that each line contains only 1 word.
Closed charu-iitm closed 5 years ago
localminimum
commented
6 years ago Hi @charu-iitm , are you using a custom word vector? If so, please make sure that each line contains only 1 word.
I am getting following error while preprocessing: Generating word embedding... 13%|#######################3 | 296814/2200000 [00:36<03:52, 8176.12it/s]Traceback (most recent call last): File "config.py", line 144, in
tf.app.run()
File "C:\Users\chchauha\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\platform\app.py", line 126, in run
_sys.exit(main(argv))
File "config.py", line 127, in main
prepro(config)
File "F:\Synapse\QANet-master\prepro.py", line 287, in prepro
word_counter, "word", emb_file=word_emb_file, size=config.glove_word_size, vec_size=config.glove_dim)
File "F:\Synapse\QANet-master\prepro.py", line 99, in get_embedding
vector = list(map(float, array[-vec_size:]))
ValueError: could not convert string to float: 'sania'