In this task, you will be presented with a context from an academic paper and you have to write an answerable question based on the context. Your questions can be extractive, abstractive, or yes-no questions.

Input: Consider Input: In this study, we investigate the performance of our proposed models on WSJ BIBREF5 . 

Output: Which dataset do they use?


Input: Consider Input: word embedding, input encoder, alignment, aggregation, and prediction

Output: what is the architecture of the baseline model?


Input: Consider Input: Finally, we transform text to be classified into scalars representing their distance from the constructed hate vector and use these as input to a Random Forest classifier.


Output: What classifier did they use?