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We propose EXAMS -- a new benchmark dataset for cross-lingual andmultilingual question answering for high school examinations. We collected morethan 24,000 high-quality high school exam questions in 16 languages, covering 8language families and 24 school subjects from Natural Sciences and SocialSciences, among others.  EXAMS offers a fine-grained evaluation framework across multiple languagesand subjects, which allows precise analysis and comparison of various models.We perform various experiments with existing top-performing multilingualpre-trained models and we show that EXAMS offers multiple challenges thatrequire multilingual knowledge and reasoning in multiple domains. We hope thatEXAMS will enable researchers to explore challenging reasoning and knowledgetransfer methods and pre-trained models for school question answering invarious languages which was not possible before. The data, code, pre-trainedmodels, and evaluation are available at https://github.com/mhardalov/exams-qa.

EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answering