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.

Example Input: Overall, this resulted in a total of 34,432 user conversations. Together, these users gave Gunrock an average rating of 3.65 (median: 4.0), which was elicited at the end of the conversation ("On a scale from 1 to 5 stars, how do you feel about talking to this socialbot again?").
Question: What is the sample size of people used to measure user satisfaction?
Example Output: 34,432 user conversations

Example Input: We carry out experiments on multiple language pairs including German-English, French-English, and Japanese-English.
Question: Which languages are used in the multi-lingual caption model?
Example Output: German-English, French-English, and Japanese-English

Example Input: This study focuses on Switchboard-300, a standard 300-hour English conversational speech recognition task. As a contrast to our best results on Switchboard-300, we also train a seq2seq model on the 2000-hour Switchboard+Fisher data.
Question: How much bigger is Switchboard-2000 than Switchboard-300 database?
Example Output:
Switchboard-2000 contains 1700 more hours of speech data.