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]: 5 out of 5 people rated The Punter, a French coffee shop as cheap. It is a family friendly coffee shop and located near Café Sicilia.
[EX A]: name[The Punter], eatType[coffee shop], food[French], priceRange[cheap], customer rating[5 out of 5], familyFriendly[yes], near[Café Sicilia]

[EX Q]: The Phoenix is a restaurant that sells Italian food and is located in the city centre. It has a cheap price range and has a customer rating of 5 out of 5.
[EX A]: name[The Phoenix], food[Italian], priceRange[cheap], customer rating[5 out of 5], area[city centre]

[EX Q]: The Punter, a Fast food place near Café Sicilia, has an average customer rating. It is not family-friendly, is cheap, and a coffee shop.
[EX A]:
name[The Punter], eatType[coffee shop], food[Fast food], priceRange[cheap], customer rating[average], familyFriendly[no], near[Café Sicilia]

