In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.
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Question: name[The Punter], eatType[coffee shop], food[Indian], priceRange[cheap], customer rating[average], familyFriendly[no], near[Café Sicilia]

Answer: The Punter is a coffee shop serving inexpensive Indian food near Café Sicilia. It is not family friendly and has an average customer rating.


Question: name[Midsummer House], food[Italian], priceRange[moderate], customer rating[3 out of 5], near[All Bar One]

Answer: Near All Bar One is a moderately priced Italian place, with a customer rating of 3 out of 5, it's called Midsummer House.


Question: name[Clowns], eatType[coffee shop], food[Japanese], customer rating[average], area[city centre], near[Clare Hall]

Answer:
In the city centre, near Clare Hall is a average rated Japanese coffee shop called Clowns.