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: We test mgru on two well-known datasets, the Penn Treebank and Text8. 
 Question: Which dataset do they train their models on?

Answer: Penn Treebank Text8


Question: Similarly the agents utterances can be clustered to identify system responses. However, we argue that rather than treating user utterances and agents responses in an isolated manner, there is merit in jointly clustering them. There is adjacency information of these utterances that can be utilized to identify better user intents and system responses. 
 Question: Do they study frequent user responses to help automate modelling of those?

Answer: Yes


Question: Our first task is the recently-introduced Visual Question Answering challenge (VQA) BIBREF22 . The next set of experiments we consider focuses on GeoQA, a geographical question-answering task first introduced by Krish2013Grounded. 
 Question: What benchmark datasets they use?

Answer:
VQA and GeoQA