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.

Ex Input:
name[The Vaults], eatType[coffee shop], priceRange[high], customer rating[average], area[riverside], near[Café Brazil]

Ex Output:
Although The Vaults, a coffee shop,  near Café Brazil boasts an average customer rating, the price is high in this riverside area.


Ex Input:
name[Aromi], eatType[restaurant], food[Japanese], area[city centre]

Ex Output:
The Japanese restaurant, Aromi, is located in the City Centre


Ex Input:
name[The Rice Boat], food[Chinese], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]

Ex Output:

The Rice Boat provides Chinese food in the high price range. It is located in the city centre. It is near Express by Holiday Inn. Its customer rating is 1 out of 5.