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: The Golden Palace is an Italian coffee shop located by the river in the City centre. It has middle priced food.

A: name[The Golden Palace], eatType[coffee shop], food[Italian], priceRange[moderate], customer rating[3 out of 5], area[riverside]
****
Q: Adult only expensive riverside area restaurant The Rice Boat features great Italian food and is close to the Express by Holiday Inn

A: name[The Rice Boat], food[Italian], priceRange[more than £30], customer rating[high], area[riverside], familyFriendly[no], near[Express by Holiday Inn]
****
Q: Midsummer House is close by All Bar One. It's a good place and expensive but it's really worth it.

A:
name[Midsummer House], food[Italian], priceRange[more than £30], customer rating[high], near[All Bar One]
****