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:
Highly priced and adult oriented, The Vaults serves Japanese food.

Ex Output:
name[The Vaults], food[Japanese], priceRange[more than £30], familyFriendly[no]


Ex Input:
Alimentum is a decent assessment of clients and offers eating fast food at average prices. nearby there is a Yippee Noodle Bar

Ex Output:
name[Alimentum], food[Fast food], priceRange[moderate], customer rating[3 out of 5], area[riverside], near[Yippee Noodle Bar]


Ex Input:
Fitzbillies is located in the city centre. It is a coffee shop that offers a range of fast food.

Ex Output:

name[Fitzbillies], eatType[coffee shop], food[Fast food], priceRange[high], customer rating[average], area[city centre], familyFriendly[yes]