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: As we only extracted references to other judicial decisions, we obtained 471,319 references from Supreme Court decisions, 167,237 references from Supreme Administrative Court decisions and 264,463 references from Constitutional Court Decisions. These are numbers of text spans identified as references prior the further processing described in Section SECREF3. 
 Question: How big is the dataset?

Answer: 903019 references


Question: The question generation model provides each candidate answer with a score by measuring semantic relevance between the question and the generated question based on the semantics of the candidate answer.  
 Question: Where is a question generation model used?

Answer: The question generation model provides each candidate answer with a score by measuring semantic relevance between the question and the generated question based on the semantics of the candidate answer. 


Question: The final annotated dataset consists of 1000 conversations composed of 6833 sentences and 88047 tokens.  
 Question: What is the size of the dataset?

Answer:
1000 conversations composed of 6833 sentences and 88047 tokens