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:
Taste of Cambridge is a family friendly coffee shop on the riverside near the Crowne Plaza Hotel offering Indian food.

Ex Output:
name[Taste of Cambridge], eatType[coffee shop], food[Indian], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]


Ex Input:
There is a cheap, family friendly French coffee shop called Cocum. It has a customer Rating of 5 out of 5.

Ex Output:
name[Cocum], eatType[coffee shop], food[French], priceRange[cheap], customer rating[5 out of 5], familyFriendly[yes]


Ex Input:
Browns Cambridge is a kid friendly Indian coffee shop located riverside near Crowne Plaza Hotel with a customer rating of 1 out of 5.

Ex Output:

name[Browns Cambridge], eatType[coffee shop], food[Indian], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]