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:
Browns Cambridge serves Chinese at a moderate price, but has an average customer rating of 1 out of 5.

Ex Output:
name[Browns Cambridge], food[Chinese], priceRange[moderate], customer rating[1 out of 5]


Ex Input:
A restaurant with a price range greater than  £30 that serves English food is The Dumpling Tree.

Ex Output:
name[The Dumpling Tree], eatType[restaurant], food[English], priceRange[more than £30]


Ex Input:
The Golden Curry provides Chinese food and with an average customer rating they are not family friendly.

Ex Output:

name[The Golden Curry], food[Chinese], customer rating[average], familyFriendly[no]