In this task, you will be presented with a context from an academic paper and a question separated with a 
. You have to answer the question based on the context.

The previously mentioned datasets are all in English 
 Question: For which languages most of the existing MRC datasets are created?
English

The functional dissimilarity score was computed using sentences from the test set in CoNLL 2017 Universal Dependencies task BIBREF20 for the relevant languages with the provided UPOS sequences. We computed the nearest neighbours experiment for all languages in the training data for the above models. 
 Question: Which evaluation metrics do they use for language modelling?
 functional dissimilarity score nearest neighbours experiment

We used the relation classification dataset of the SemEval 2010 task 8 BIBREF8 . It consists of sentences which have been manually labeled with 19 relations (9 directed relations and one artificial class Other). 8,000 sentences have been distributed as training set and 2,717 sentences served as test set. 
 Question: Which dataset do they train their models on?

relation classification dataset of the SemEval 2010 task 8