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.

Example Input: name[Green Man], food[French], priceRange[more than £30], area[city centre], familyFriendly[no], near[All Bar One]
Example Output: Green Man is a French restaurant in the city centre. It is not child friendly and is located near All Bar One. It costs more than thirty pounds.

Example Input: name[The Rice Boat], food[French], priceRange[£20-25], customer rating[3 out of 5], area[riverside], familyFriendly[no], near[Express by Holiday Inn]
Example Output: There is low price coffee shop named The Rice Boat serving French food Located in riverside near Express by Holiday Inn with a customer rating of 3 out of 5 but not kids-friendly

Example Input: name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[no]
Example Output:
Fitzbillies is a coffee shop that serves Indian food within a high price range but it is not children friendly and has a customer rating of 1 out of 5.  It is in the riverside area.