Datasets for IR-based QA are most commonly created by first developing reading comprehension datasets containing tuples of the form: (passage, question, answer). Reading comprehension systems can use the datasets to train a reader that is given a passage and a question, and predicts a span in the passage as the answer; this eliminates the need for the reading comprehension system to deal with informational retrieval.