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

Answer: Which dataset do they use?


Question: The baseline classifier uses a linear Support Vector Machine BIBREF7 , which is suited for a high number of features. 

Answer: What baseline is used?


Question: We showed in BIBREF22 that Pearson correlation is badly suited for STS. Instead, we compute the Spearman's rank correlation between the cosine-similarity of the sentence embeddings and the gold labels.

Answer:
What metrics are used for the STS tasks?