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.

[Q]: The Cambridge Blue is a pub that is low priced that offers wine, cheese, and grapes, and is located next to Café Brazil.
[A]: name[The Cambridge Blue], eatType[pub], food[French], priceRange[less than £20], near[Café Brazil]


[Q]: Cotto is a coffee shop that offers delicious Indian food, although the price range is high, you will be pleased to know Cotto has high customer ratings. It is located in Riverside near The Portland Arms.
[A]: name[Cotto], eatType[coffee shop], food[Indian], priceRange[more than £30], customer rating[high], area[riverside], near[The Portland Arms]


[Q]: The Vaults is a pub near Café Adriatic. It has a high customer rating and a price range of £20-25.
[A]:
name[The Vaults], eatType[pub], priceRange[£20-25], customer rating[high], near[Café Adriatic]