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split_data.py
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split_data.py
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from accent_utils import *
import random
data = []
with open("data/wikipedia.txt", 'r', encoding='utf-8') as f:
wiki_data = f.read().split("\n")
print("Wiki: {} sentences".format(len(wiki_data)))
data += wiki_data
with open("data/yhoc.txt", 'r', encoding='utf-8') as f:
yhoc_data = f.read().split("\n")
print("YHoc: {} sentences".format(len(yhoc_data)))
data += yhoc_data
random.seed(42)
random.shuffle(data)
X = data
y = [remove_tone_line(x) for x in X]
X_val = X[:10000]
y_val = y[:10000]
X_test = X[10000:20000]
y_test = y[10000:20000]
X_train = X[20000:]
y_train = y[20000:]
with open("data/train.tone", 'w', encoding='utf-8') as f:
f.write("\n".join(X_train))
with open("data/train.notone", 'w', encoding='utf-8') as f:
f.write("\n".join(y_train))
print("Train: {} samples".format(len(X_train)))
with open("data/val.tone", 'w', encoding='utf-8') as f:
f.write("\n".join(X_val))
with open("data/val.notone", 'w', encoding='utf-8') as f:
f.write("\n".join(y_val))
print("Val: {} samples".format(len(X_val)))
with open("data/test.tone", 'w', encoding='utf-8') as f:
f.write("\n".join(X_test))
with open("data/test.notone", 'w', encoding='utf-8') as f:
f.write("\n".join(y_test))
print("Test: {} samples".format(len(X_test)))