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:
Near The Portland Arms there is an Italian pub named The Dumpling Tree that welcomes families.

Ex Output:
name[The Dumpling Tree], eatType[pub], food[Italian], familyFriendly[yes], near[The Portland Arms]


Ex Input:
The Waterman is a French restaurant located in Riverside with  low customer rating. This establishment is not child friendly and requires a price range of 30 euros.

Ex Output:
name[The Waterman], food[French], priceRange[more than £30], customer rating[low], area[riverside], familyFriendly[no]


Ex Input:
Fitzbillies is a low rated but child friendly French coffee shop in the city centre. It is in the price range of more than £30.

Ex Output:

name[Fitzbillies], eatType[coffee shop], food[French], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[yes]