用python实现将25个句子按照十折划分为训练集、验证集与测试集,并写入TXT文件
时间: 2023-06-09 14:02:00 浏览: 108
python中如何实现将数据分成训练集与测试集的方法
好的,这个问题可以回答。以下是Python 代码,帮您将25个句子按十折划分为训练集、验证集、测试集并写入TXT文件:
```
import random
# 定义句子列表
sentences = [
"The quick brown fox jumps over the lazy dog.",
"She sells seashells by the seashore.",
"I scream, you scream, we all scream for ice cream.",
"To be or not to be, that is the question.",
"All the world's a stage, and all the men and women merely players.",
"The cat in the hat came back.",
"I have a dream that one day this nation will rise up and live out the true meaning of its creed.",
"Four score and seven years ago our fathers brought forth on this continent a new nation.",
"Ask not what your country can do for you, ask what you can do for your country.",
"In the beginning God created the heavens and the earth.",
"A penny saved is a penny earned.",
"Give me liberty or give me death.",
"There is no place like home.",
"Houston, we have a problem.",
"Beam me up, Scotty.",
"May the Force be with you.",
"I'll be back.",
"There's no crying in baseball.",
"You can't handle the truth!",
"Here's looking at you, kid.",
"You talking to me?",
"Frankly, my dear, I don't give a damn.",
"Toto, I've got a feeling we're not in Kansas anymore.",
"Show me the money!",
"You had me at hello."
]
# 打乱句子列表
random.shuffle(sentences)
# 计算十折划分后每个集合的大小
num_folds = 10
subset_size = len(sentences) // num_folds
# 划分集合并写入文件
for i in range(num_folds):
test_start = i * subset_size
test_end = (i + 1) * subset_size
test_set = sentences[test_start:test_end]
train_valid_set = sentences[:test_start] + sentences[test_end:]
random.shuffle(train_valid_set)
valid_set = train_valid_set[:subset_size]
train_set = train_valid_set[subset_size:]
with open(f"fold_{i+1}_train.txt", "w") as f:
f.write("\n".join(train_set))
with open(f"fold_{i+1}_valid.txt", "w") as f:
f.write("\n".join(valid_set))
with open(f"fold_{i+1}_test.txt", "w") as f:
f.write("\n".join(test_set))
```
上面代码中,我们首先定义了一个包含25个不同句子的列表。然后随机打乱这个列表,接着计算集合大小并进行十折划分。最后,我们将每个集合写入文件,并以 "fold_i_" 命名文件以表示是哪一个折。例如,第一个折的训练集就是名为 "fold_1_train.txt" 的文件。
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