These benchmark datasets have supported a diverse and influential line of research into semantic parsing learning algorithms for sophisticated semantic constructions, with continuing advances in accuracy.
the focus on these datasets leads to a natural question -do other natural datasets have similar syntax and semantics, and if not, can existing algorithms handle the variability in syntax and semantics?