Using this framework, we collected a dataset of 50k instances in the restaurant domain, which is 10 times bigger than datasets currently used for NLG training, e.g. SFRest and SFHot<cite> (Wen et al., 2015)</cite> or Bagel (Mairesse et al., 2010) .