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.

Browns Cambridge is a high priced Indian restaurant with an average customer rating.
name[Browns Cambridge], food[Indian], priceRange[high], customer rating[average]

Near the Burger King in the city centre is an Italian coffee shop called The Eagle. It is not child friendly, has an average customer rating and is in the high price range.
name[The Eagle], eatType[coffee shop], food[Italian], priceRange[high], customer rating[average], area[city centre], familyFriendly[no], near[Burger King]

The Cricketers coffee shop, serving Indian food, has an average customer rating and is not family friendly. It is located near The Portland Arms.

name[The Cricketers], eatType[coffee shop], food[Indian], customer rating[average], familyFriendly[no], near[The Portland Arms]

