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 Q]: The Eagle is a French coffee shop located near Burger King in riverside. At a customer rating of 5 out of 5 and its cheap this makes a great family friendly place.
[EX A]: name[The Eagle], eatType[coffee shop], food[French], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Burger King]

[EX Q]: Found a low-priced Chinese restaurant near the Café Rouge pub. It's called The Plough and is family friendly.
[EX A]: name[The Plough], eatType[pub], food[Chinese], priceRange[cheap], familyFriendly[yes], near[Café Rouge]

[EX Q]: The Punter is a child friendly coffee shop located near Café Sicilia. It has a high customer rating, and serves English food costing over 30 euro.
[EX A]:
name[The Punter], eatType[coffee shop], food[English], priceRange[more than £30], customer rating[high], familyFriendly[yes], near[Café Sicilia]

