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: An Indian food restaurant that is moderately priced is called the Loch Fyne.  It is kid friendly and moderately priced.

A: name[Loch Fyne], eatType[restaurant], food[Indian], priceRange[moderate], familyFriendly[yes]
****
Q: Browns Cambridge is a hamburger joint that has an average rating of 3 out of 5 stars and is low priced.

A: name[Browns Cambridge], food[Fast food], priceRange[less than £20], customer rating[average]
****
Q: Situated in riverside, The Rice Boat is an averagely rated children friendly Fast food venue.

A:
name[The Rice Boat], food[Fast food], customer rating[average], area[riverside], familyFriendly[yes]
****