数据集划分是炼丹的准备工作。附上一次性划分的步骤。

Step1: 获取所有文件名

ls >a.txt

注意在生成的txt里将其本名删去。

Step2：按照比例划分
这里使用的是train:test:val = 7:2:1 的比例划分。直接用mod10结果分类。

# clear contents
with open('val.txt', 'a+', encoding='utf-8') as f_val:
    f_val.truncate(0)
f_val.close()

with open('test.txt', 'a+', encoding='utf-8') as f_test:
    f_test.truncate(0)
f_test.close()

with open('train.txt', 'a+', encoding='utf-8') as f_train:
    f_train.truncate(0)
f_train.close()

# read and write
with open("a.txt", encoding='utf-8') as f:
    count = 0
    for line in f.readlines():
        count = count + 1
        # print("NO.", count, ":", line)
        if count % 10 == 1:
            with open('val.txt', 'a') as f_val:
                f_val.write(line)
            f_val.close()
        elif count % 5 == 0:
            with open('test.txt', 'a') as f_test:
                f_test.write(line)
            f_test.close()
        else:
            with open('train.txt', 'a') as f_train:
                f_train.write(line)
            f_train.close()
f.close()

结果：