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:
Wildwood is an inexpensive Japanese pub. Rated 3 out of 5.

Ex Output:
name[Wildwood], eatType[pub], food[Japanese], priceRange[less than £20], customer rating[average]


Ex Input:
Zizzi is an expensive, non-child friendly coffee shop in the city centre with a price range exceeding £30 and has a low customer rating.

Ex Output:
name[Zizzi], eatType[coffee shop], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no]


Ex Input:
The venue 'Alimentum' is located in the city centre. They have a high price range, serve English food and are children friendly.

Ex Output:

name[Alimentum], food[English], priceRange[high], area[city centre], familyFriendly[yes]