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 Plough], eatType[pub], food[Japanese], priceRange[less than £20], familyFriendly[yes], near[Café Rouge]

Ex Output:
The Plough is a Japanese food providing pub that is less than £20 located near Café Rouge


Ex Input:
name[The Punter], eatType[coffee shop], food[French], priceRange[£20-25], customer rating[3 out of 5], familyFriendly[no], near[Café Sicilia]

Ex Output:
The Punter has a customer rating of 3 out of 5, because their price range is £20-25. It is located near Café Sicilia and is not kids friendly, because it is a coffee shop and they serve French food.


Ex Input:
name[The Vaults], eatType[coffee shop], priceRange[cheap], customer rating[5 out of 5], area[riverside], near[Café Brazil]

Ex Output:

Near Café Brazil, by the river, there is an inexpensive coffee shop named The Vaults. It is highly rated.