we're gonna do experiments so basically they they applied this method to two different types of tasks Texas classification and then image recognition so a couple of vision benchmarks these are the actual data sets that they used so there's a mixture of binary and five class text classification most of it is sentiment I except for dbpedia which is I believe categories and I think dbpedia actually has fourteen classes or ten classes the two image benchmarks both have ten classes they also use image net they test on