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.
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Question: To study the lexical and semantic diversities of responses, we performed three analyses. First, we aggregated all worker responses to a particular question into a single list corresponding to that question. Second, we compared the diversity of individual responses between Control and AUI for each question. To measure diversity for a question, we computed the number of responses divided by the number of unique responses to that question. We call this the response density.  
 Question: How was lexical diversity measured?

Answer: By computing number of unique responses and number of responses divided by the number of unique responses to that question for each of the questions


Question: We focus here on the Europarl domain, for which we have ample data in several languages, and use as in-domain training data the Europarl corpus BIBREF5 for two translation directions: English INLINEFORM0 German and English INLINEFORM1 French.  
 Question: what language is the data in?

Answer: English  German French


Question: Annotator votes for one of the seven emotions, namely Ekman’s six basic emotions BIBREF1, plus the neutral. 
 Question: What labels does the dataset have?

Answer:
Ekman’s six basic emotions  neutral