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[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[high], customer rating[average], area[riverside], familyFriendly[no]

Ex Output:
Fitzbillies is a coffee shop. It offers Indian food. It is in the high price range. It has a average customer rating. It is in the riverside area. It is not a children friendly restaurant.


Ex Input:
name[Browns Cambridge], eatType[coffee shop], food[French], customer rating[3 out of 5], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]

Ex Output:
In the Riverside area close to the Crowne Plaza Hotel, there is a coffee shop called Browns Cambridge serving French food which is child Friendly.


Ex Input:
name[Browns Cambridge], eatType[coffee shop], food[French], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]

Ex Output:

Browns Cambridge is a French coffee shop that is kid friendly with a riverside view near Crown Plaza Hotel