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.

Ex Input:
Four factual attributes pertaining to the 200 colleges are extracted from the U.S. News Statistics, which consists of Undergraduate Enrollment, Male/Female Ratio, Private/Public, and Region (Northeast, South, West, and Midwest).  
 Question: Which major geographical regions are studied?

Ex Output:
Northeast U.S, South U.S., West U.S. and Midwest U.S.


Ex Input:
Despite these shortcomings in using WER as a metric of success, the WER can reflect our model's effectiveness in generating questions that are similar to those of SQuAD based on the given reading passage and answer. WER can be used for initial analyses that can lead to deeper insights as discussed further below. 
 Question: Why did they choose WER as evaluation metric?

Ex Output:
WER can reflect our model's effectiveness in generating questions that are similar to those of SQuAD WER can be used for initial analyses


Ex Input:
One would expect that training with more data would improve the quality of the embeddings, but we found out with the results obtained with the C3 dataset, that only high-quality data helps. 
 Question: What turn out to be more important high volume or high quality data?

Ex Output:

only high-quality data helps