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: We empirically test our approach on a series of experiments on WikiTableQuestions, to our knowledge the only dataset designed for this task. In Algorithm 1 we describe how logical forms are transformed into interpretable textual representations called "paraphrases". 
 Question: What is the source of the paraphrases of the questions?

Answer: WikiTableQuestions


Question: The seq2seq model with global attention gives the best results with an average target BLEU score of 29.65 on the style transfer dataset, compared with an average target BLEU score of 26.97 using the seq2seq model with pointer networks. 
 Question: What is best BLEU score of language style transfer authors got?

Answer: seq2seq model with global attention gives the best results with an average target BLEU score of 29.65


Question: The dataset consists of more than $0.3$ million records and has been made available for future research. 
 Question: What is the size of the dataset?

Answer:
$0.3$ million records