Comments (2)
This is how I generated it:
import pickle
import numpy as np
f = open('glove.6B.300d.txt', 'r')
g = open('glove.6B.300d_pickle', 'wb')
word_dict = {}
wordvec = []
for idx, line in enumerate(f.readlines()):
word_split = line.split(' ')
word = word_split[0]
word_dict[word] = idx
d = word_split[1:]
d[-1] = d[-1][:-1]
d = [float(e) for e in d]
wordvec.append(d)
embedding = np.array(wordvec)
pickling = {}
pickling = {'embedding' : embedding, 'word_dict': word_dict}
pickle.dump(pickling, g)
f.close()
g.close()
from paraphraser.
@rjadr To use it with the paraphraser code, you need some changes:
import pickle
import numpy as np
f = open('glove.6B.300d.txt', 'r')
g = open('glove.6B.300d.pickle', 'wb')
word_to_id = {}
id_to_word = {}
wordvec = []
for idx, line in enumerate(f.readlines()):
word_split = line.split(' ')
word = word_split[0]
word_to_id[word] = idx
id_to_word[idx] = word
d = word_split[1:]
d[-1] = d[-1][:-1]
d = [float(e) for e in d]
wordvec.append(d)
embedding = np.array(wordvec)
pickling = word_to_id, id_to_word, embedding
pickle.dump(pickling, g)
f.close()
g.close()
from paraphraser.
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from paraphraser.