[wging]

I'm not so sure the input "errors" called out in this post qualify as errors in the dataset. I wouldn't necessarily call an input prompt with errors a dataset problem. It's important to be robust to minor input errors, rather than requiring perfection on the part of the user.

I'm thinking here about "People is around the field watching the game", and other input errors, not necessarily output errors, but maybe if I thought about it a little more I'd be able to make similar arguments for accepting weirder outputs? Not as confident about that. For inputs, the hopeful effect of training/validating against such examples would be to make the model somewhat able to deal with imperfect inputs when the overall meaning is clear.