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We describe two new related resources that facilitate modelling of generalknowledge reasoning in 4th grade science exams. The first is a collection ofcurated facts in the form of tables, and the second is a large set ofcrowd-sourced multiple-choice questions covering the facts in the tables.Through the setup of the crowd-sourced annotation task we obtain implicitalignment information between questions and tables. We envisage that theresources will be useful not only to researchers working on question answering,but also to people investigating a diverse range of other applications such asinformation extraction, question parsing, answer type identification, andlexical semantic modelling.

TabMCQ: A Dataset of General Knowledge Tables and Multiple-choice Questions