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.

Input: Consider Input: Our data set contains $3,209$ reviews about 553 different cars from 49 different car manufacturers. 
 Question: How big is dataset of car-speak language?

Output: $3,209$ reviews 


Input: Consider Input: While the performances of a purely content-based model naturally stays stable, the performance of the other systems decrease notably – they perform worse than the content-based model. 
 Question: How do they demonstrate the robustness of their results?

Output: performances of a purely content-based model naturally stays stable


Input: Consider Input: We compile three Chinese text corpora from online data for three domains, namely, “hotel", “mobile phone (mobile)", and “travel". All texts are about user reviews.  
 Question: What are the sources of the data?


Output: User reviews written in Chinese collected online for hotel, mobile phone, and travel domains