Discrepancy between code and paper: number of clean examples in Cifar

[tvogels]

Thanks very much for taking the effort to make your code available.
While reproducing your results, I found that the default number of clean examples in the Cifar experiments is 100, while the paper reports using 1000. Is the number 1000 in the paper correct? If so, maybe you could change the defaults in your code.

learning-to-reweight-examples/cifar/cifar_train.py

Line 698 in 0b616c9

flags.DEFINE_integer('num_clean', 100, 'Number of clean images in the training set')

learning-to-reweight-examples/cifar/cifar_train_background.py

Line 715 in 0b616c9

flags.DEFINE_integer('num_clean', 100, 'Number of clean images in the training set')

PS: does your Cifar code also include the MentorNet baseline somewhere?