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:
Bibimbap House offers French food with expensive price near Clare Hall.

Ex Output:
name[Bibimbap House], food[French], priceRange[more than £30], area[city centre], near[Clare Hall]


Ex Input:
The Wrestlers is a high price restaurant.  It is kid friendly.

Ex Output:
name[The Wrestlers], food[English], priceRange[high], customer rating[average], familyFriendly[yes]


Ex Input:
The Golden Curry serves Indian for more than £30. Children welcome, located in The Bakers.

Ex Output:

name[The Golden Curry], food[Indian], priceRange[more than £30], familyFriendly[yes], near[The Bakers]