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.

Ex Input:
The Dumpling Tree, riverside near Café Sicilia, is a high priced, non family-friendly coffee shop.

Ex Output:
name[The Dumpling Tree], eatType[coffee shop], priceRange[more than £30], area[riverside], familyFriendly[no], near[Café Sicilia]


Ex Input:
The Rice Boat is an Italian restaurant located near the Express by Holiday Inn in the center of the city. It is not children friendly, with a high price range and a customer rating of 1 out of 5.

Ex Output:
name[The Rice Boat], food[Italian], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[no], near[Express by Holiday Inn]


Ex Input:
Zizzi is a coffee Shop have 3 out of 5 costumer rating, and £20-26 price range. It is located in city center.

Ex Output:

name[Zizzi], eatType[coffee shop], priceRange[£20-25], customer rating[3 out of 5], area[city centre], familyFriendly[no]


