无法使继承与模块中的super一起使用

我已经了解了通过调用祖先的构造函数的新方法，super(..).__init__()并想使用它。我有一个包含三个文件的目录数据集：__init__.py

from .Dataset import Dataset
from .CSVDataset import CSVDataset

CSVDataset.py

import csv
import numpy as np
from dataset import Dataset


class CSVDataset(Dataset):
    """
    reads dataset from csv file
    """
    def __init__(self, file):
        Dataset.__init__(self)
        #super(CSVDataset, self).__init__()
        reader = csv.reader(open(file, 'r'), delimiter=',')
        x = list(reader)
        self.container = np.array(x).astype('double')

和Dataset.py。当我使用它../dataset像这样

from dataset import CSVDataset
data = CSVDataset('test/data1')

它仅适用于Dataset.__init__(self)。它应该可以，super(CSVDataset, self).__init__()但不能。这是为什么？

更新：我得到错误

>>> data = CSVDataset('test/data1')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "dataset/CSVDataset.py", line 13, in __init__
    super(CSVDataset, self).__init__()
TypeError: must be type, not classobj

数据集草稿：

class Dataset(Iterable):
    """
    base class representing dataset API.
    Remember, dataset is used for learning.
    """
    def __init__(self):
        self.container = None
        self.counter = None
    ....

class Iterable:
    def __iter__(self):
        self.counter = 0
        return self

    def __next__(self):
        try:
            label = self[self.counter]
            self.counter += 1
            return label
        except:
            raise StopIteration