In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

The Rice Boat is a place that sells Indian food for under £20 that has a low customer rating and is located on the riverside near Express by Holiday Inn.
name[The Rice Boat], food[Indian], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[no], near[Express by Holiday Inn]

The Waterman is an Italian restaurant that is kid-friendly near the city center and is moderately priced with a customer rating of 1 out of 5.
name[The Waterman], food[Italian], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[yes]

The coffee shop, The Punter, is a high priced shop located near Café Sicilia offering French food.  While children-friendly, customers have only given this location a 3 out of 5 rating.

name[The Punter], eatType[coffee shop], food[French], priceRange[high], customer rating[3 out of 5], familyFriendly[yes], near[Café Sicilia]