We are comparing what you get by using an alternative service like api.ai (which you need to start by feeding manually) with what you can do with our solution.
Manually feeding 70 queries per intent already takes a good deal of energy and imagination, so we thought it was representative of a good effort from a user. This is why Snips proposes to its users to automatically to use generative methods to create high-quality datasets (over 2000 queries per intent).
All hypotheses are clarified in our blog post on performances which I encourage you to read! https://medium.com/@alicecoucke/benchmarking-natural-languag...
We even post all the underlying data and results on GitHub so people will be able to verify our claims: https://github.com/snipsco/nlu-benchmark/tree/master/2017-06...