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.

Input: Consider Input: Our semi-supervised approach is quite straightforward: first a model is trained on the training set and then this model is used to predict the labels of the silver data. This silver data is then simply added to our training set, after which the model is retrained. However, an extra step is applied to ensure that the silver data is of reasonable quality.
Question: What semi-supervised learning is applied?

Output: first a model is trained on the training set and then this model is used to predict the labels of the silver data This silver data is then simply added to our training set, after which the model is retrained

Input: Consider Input: The corpus is freely available at the following link
Question: Is this dataset publicly available?

Output: Yes

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