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:
A child friendly restaurant with high prices is Travellers Rest Beefeater.

Ex Output:
name[Travellers Rest Beefeater], eatType[restaurant], priceRange[high], familyFriendly[yes]


Ex Input:
The Rice Boat is an Italian, non kid friendly moderate priced restaurant that is in the riverside area and near Express by Holiday Inn. It rates a 1 out of 5.

Ex Output:
name[The Rice Boat], food[Italian], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[no], near[Express by Holiday Inn]


Ex Input:
Browns Cambridge is a family-friendly coffee shop that serves Italian food in the city centre.  It is near the Crowne Plaza Hotel and has a low customer rating.

Ex Output:

name[Browns Cambridge], eatType[coffee shop], food[Italian], customer rating[low], area[city centre], familyFriendly[yes], near[Crowne Plaza Hotel]