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[Strada], food[Chinese], priceRange[more than £30], customer rating[high], familyFriendly[no], near[Rainbow Vegetarian Café]

Ex Output:
Despite its high customer rating, Strada located near Rainbow Vegetarian Café, offers Chinese food at price range of more than £30. It is not child friendly


Ex Input:
name[The Punter], eatType[coffee shop], food[Indian], priceRange[high], customer rating[average], familyFriendly[no], near[Café Sicilia]

Ex Output:
The adult-friendly coffee shop, The Punter, serves expensive but averagely-rated Indian Dishes near Café Sicilia.


Ex Input:
name[The Waterman], food[English], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes]

Ex Output:

The Waterman serves cheap priced English food in the city centre area. It is family-friendly with a 5 out of 5 customer rating.