Documentation for Return. #2898

Continuing the issue #2898.
If the changes are acceptable, the same pattern will be followed for the other example datasets.
In [22]:  np.shape(data['data'])
Out[22]: (400, 4096)

In [23]: np.shape(data['images'])
Out[23]: (400, 64, 64)

In [24]: np.shape(data['target'])
Out[24]: (400,)

In [25]: np.shape(data['data'][0])
Out[25]: (4096,)

In [26]: np.shape(data['images'][0])
Out[26]: (64, 64)

Yes you are right. The above are the corresponding shapes of the attributes. What would be a good way to mention them ?