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

著者: Momchil Hardalov, Todor Mihaylov, Dimitrina Zlatkova, Yoan Dinkov, Ivan Koychev, Preslav Nakov - Conference on Empirical Methods in Natural Language Processing, EMNLP 2020 被引用: 26

We propose Es -a new benchmark dataset for cross-lingual and multilingual question answering for high school examinations. We collected more than 24,000 highquality high school exam questions in 16 languages, covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.