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 Waterman is an averagely rated,  English pub located in Riverside.

Ex Output:
name[The Waterman], eatType[pub], food[English], customer rating[average], area[riverside]


Ex Input:
There is a French pub that is not family-friendly with a price range of less than £20 in the city centre named The Olive Grove.

Ex Output:
name[The Olive Grove], eatType[pub], food[French], priceRange[less than £20], area[city centre], familyFriendly[no]


Ex Input:
A cheap, Chinese food place located near The Bakers is called The Golden Curry and is family friendly.

Ex Output:

name[The Golden Curry], food[Chinese], priceRange[cheap], familyFriendly[yes], near[The Bakers]