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.
--------
Question: In this work, we use pretraining on the unlabeled data of each task and show that it can increase the performance of classification systems.
Question: Where is MVCNN pertained?

Answer: on the unlabeled data of each task

Question: The dataset contains a total of 9710 passages, with an average of 6.24 sentences per passage, 16.16 words per sentence, and an average length of 86 words.
Question: What is the size of this dataset?

Answer: 9710 passages, with an average of 6.24 sentences per passage, 16.16 words per sentence, and an average length of 86 words

Question: Table TABREF14 shows the effectiveness of our model (multi-task transformer) over the baseline transformer BIBREF8 .
Question: what are the baselines?

Answer:
the baseline transformer BIBREF8