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: The Y-axis in the figure is the success rate of the agent (measured in terms of number of dialogs that resulted in launching a skill divided by total number of dialogs), and the X-axis is the number of learning steps.  
 Question: How did they measure effectiveness?

Answer: number of dialogs that resulted in launching a skill divided by total number of dialogs


Question: EmotionLines BIBREF6 is a dialogue dataset composed of two subsets, Friends and EmotionPush, according to the source of the dialogues. 
 Question: what datasets were used?

Answer: Friends EmotionPush


Question: Finally, we combine our CNN and RNN models using a voting process. For each sentence in the test set, we apply several CNN and RNN models presented in Tables TABREF12 and TABREF14 and predict the class with the most votes. In case of a tie, we pick one of the most frequent classes randomly. 
 Question: How does their simple voting scheme work?

Answer:
we apply several CNN and RNN models presented in Tables TABREF12 and TABREF14 and predict the class with the most votes In case of a tie, we pick one of the most frequent classes randomly