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

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

PROBLEM: Near The Portland Arms, In the city centre of city,  is a 3of5 stars coffee shop price moderate called Cotto, serves Fast food

SOLUTION: name[Cotto], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[3 out of 5], area[city centre], near[The Portland Arms]

PROBLEM: The Olive Grove serves English food, it is near the riverside, kid friendly and moderately priced.

SOLUTION:
name[The Olive Grove], eatType[pub], food[English], priceRange[moderate], area[riverside], familyFriendly[yes]