We present HEAD-QA, a multi-choice question answering testbed to encourage research on complex reasoning. The questions come from exams to access a specialized position in the Spanish healthcare system, and are challenging even for highly specialized humans. We then consider monolingual (Spanish) and cross-lingual (to English) experiments with information retrieval and neural techniques. We show that: (ⅰ) HEAD-QA challenges current methods, and (ⅱ) the results lag well behind human performance, demonstrating its usefulness as a benchmark for future work.
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