You will be given a definition of a task first, then some input of the task.
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.

name[The Golden Palace], eatType[coffee shop], food[French], priceRange[£20-25], customer rating[high], area[city centre]
Output:
The Golden Palace is a French coffee shop in the city centre with average prices, and a high customer rating.
You will be given a definition of a task first, then some input of the task.
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.

name[The Golden Palace], eatType[coffee shop], food[French], priceRange[£20-25], customer rating[high], area[city centre]
Output:
user
The Golden Palace is a French coffee shop in the city centre with average prices, and a high customer rating.
assistant
You will be given a definition of a task first, then some input of the task.
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.

name[The Golden Palace], eatType[coffee shop], food[French], priceRange[£20-25], customer rating[high], area[city centre]
Output:
The Golden Palace is a French coffee shop in the city centre with average prices, and a high customer rating.