AI說書 - 從0開始 - 105 | AI 資料準備

我想要一天分享一點「LLM從底層堆疊的技術」，並且每篇文章長度控制在三分鐘以內，讓大家不會壓力太大，但是又能夠每天成長一點。

目前我們已經有資料集在 AI說書 - 從0開始 - 103 ，必要的清理函數在 AI說書 - 從0開始 - 104 ，現在把它們湊在一起，如下：

# load English data
filename = 'europarl-v7.fr-en.en'
doc = load_doc(filename)
sentences = to_sentences(doc)
minlen, maxlen = sentence_lengths(sentences)
print('English data: sentences = %d, min = %d, max = %d' % (len(sentences), minlen, maxlen))
cleanf = clean_lines(sentences)


filename = 'English.pkl'
outfile = open(filename, 'wb')
pickle.dump(cleanf, outfile)
outfile.close()
print(filename, " saved")

輸出結果為：

上述是針對英文資料集的作法，以下針對法文資料集重做一遍：

# load French data
filename = 'europarl-v7.fr-en.fr'
doc = load_doc(filename)
sentences = to_sentences(doc)
minlen, maxlen = sentence_lengths(sentences)
print('French data: sentences = %d, min = %d, max = %d' % (len(sentences), minlen, maxlen))
cleanf = clean_lines(sentences)


filename = 'French.pkl'
outfile = open(filename, 'wb') 
pickle.dump(cleanf, outfile)
outfile.close() 
print(filename," saved")

輸出結果為：