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.

[Q]: 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?
[A]: 9710 passages, with an average of 6.24 sentences per passage, 16.16 words per sentence, and an average length of 86 words


[Q]: Finally, we performed hyperparameter tuning by adjusting the number of coattention blocks, the batch size, and the number of epochs trained and ensembled our three best networks. 
 Question: What hyperparameters have been tuned?
[A]: number of coattention blocks, the batch size, and the number of epochs trained and ensembled our three best networks


[Q]: Figure FIGREF29 shows the $\text{MPAs}$ of the proposed DP-LSTM and vanilla LSTM for comparison.  
 Question: Is the model compared against a linear regression baseline?
[A]:
No