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.

Midsummer House is near Café Rouge and provides Indian food with a customer rating of 3 out of 5.
name[Midsummer House], food[Indian], customer rating[3 out of 5], near[Café Rouge]

The Golden Palace is a Japanese coffee shop in the riverside area with a low customer rating. it costs more than £30.
name[The Golden Palace], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[low], area[riverside]

There is child friendly perfect rated French coffee shop near Crowne Plaza Hotel in the riverside area.  Its named Browns Cambridge.

name[Browns Cambridge], eatType[coffee shop], food[French], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]

