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: If you want Japanese food, The Cambridge Blue  is fair but has a low customer rating.

A: name[The Cambridge Blue], eatType[restaurant], food[Japanese], customer rating[low]
****
Q: The Cambridge Blue is a restaurant serving Japanese food. It has an average customer rating.

A: name[The Cambridge Blue], eatType[restaurant], food[Japanese], customer rating[average]
****
Q: The French restaurant named The Eagle is a coffee shop in the city centre, near Burger King is a place for kids with price range from 20-25 with a customer rating of 3 out of 5.

A:
name[The Eagle], eatType[coffee shop], food[French], priceRange[£20-25], customer rating[3 out of 5], area[city centre], familyFriendly[yes], near[Burger King]
****