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: A high priced restaurant near the river is Alimentum.  This is a five star restaurant located next to Yippee Noodle Bar.

A: name[Alimentum], food[Fast food], priceRange[more than £30], customer rating[high], area[riverside], near[Yippee Noodle Bar]
****
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: Fitzbillies is a great coffee shop which sells Indian food. Prices ranging from £20-25. They have a high customer rating. Can be found in the city centre. No children allowed

A:
name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[no]
****