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:
There is an expensive pub near the Café Brazil called The Cambridge Blue that sell wines and spirits.

Ex Output:
name[The Cambridge Blue], eatType[pub], food[French], priceRange[more than £30], near[Café Brazil]


Ex Input:
The Rice Boat is located near Express by Holiday Inn in the city centre. It serves high quality Indian food in the £20-25 price range and is kids friendly.

Ex Output:
name[The Rice Boat], food[Indian], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]


Ex Input:
Blue Spice is a cheap, non-family-friendly restaurant in riverside with a 5 out of 5 customer rating.

Ex Output:

name[Blue Spice], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[no]