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: For a family-Friendly coffee shop Cocum can serve you Italian food at affordable prices.  The customer rating however is only average.

A: name[Cocum], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[average], familyFriendly[yes]
****
Q: If you are looking for a high-priced restaurant, go to Browns Cambridge, a Japanese restaurant with a customer rating of 3 out of 5.

A: name[Browns Cambridge], food[Japanese], priceRange[high], customer rating[3 out of 5]
****
Q: Bibimbap House  near Clare Hall in Riverside serves Indian food. The price is in the high range.

A:
name[Bibimbap House], food[Indian], priceRange[high], area[riverside], near[Clare Hall]
****