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[The Eagle], eatType[coffee shop], food[Italian], priceRange[high], customer rating[average], area[riverside], familyFriendly[no], near[Burger King]
Example Output: The Eagle is a high priced Italian coffee shop near Burger King in riverside. It is not children friendly and has an average customer rating.

Example Input: name[Strada], food[Indian], priceRange[high], customer rating[1 out of 5], familyFriendly[no], near[Rainbow Vegetarian Café]
Example Output: Near the Rainbow Vegetarian Café, there is a high range price Indian place called Strada. It is not family friendly and the customer rating is low.

Example Input: name[The Rice Boat], food[Japanese], priceRange[less than £20], customer rating[average], area[riverside], familyFriendly[no], near[Express by Holiday Inn]
Example Output:
The Rice Boat offers Japanese food. It is family-friendly. Customer Ratings are average. Prices are less than £ 20. Close the Express by Holiday Inn. 's area riverside.