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 Punter], eatType[coffee shop], food[Indian], priceRange[cheap], customer rating[5 out of 5], familyFriendly[no], near[Café Sicilia]

Ex Output:
The Punter is a coffee shop, which offers Indian food, within a cheap price range. It has a 5 out of 5 customer rating, but it is not family friendly. I t is located near Café Sicilia.


Ex Input:
name[The Punter], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes], near[Café Sicilia]

Ex Output:
The Punter is a family restaurant with low prices and delicious sushi, located near the Café Sicilia


Ex Input:
name[The Rice Boat], food[Chinese], customer rating[low], area[riverside], familyFriendly[yes]

Ex Output:

Located in the Riverside area, The Rice Boat serves Chinese food and is family friendly. They have a low customer rating.