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: there is a cheap French coffee shop named Cotto that has 5 out of 5 customer rating near The Portland Arms in the riverside area

A: name[Cotto], eatType[coffee shop], food[French], priceRange[cheap], customer rating[5 out of 5], area[riverside], near[The Portland Arms]
****
Q: Located near The Bakers is a kid friendly restaurant called The Plough. It has a price range of £20-25.

A: name[The Plough], eatType[restaurant], priceRange[£20-25], familyFriendly[yes], near[The Bakers]
****
Q: The Rice Boat serving Indian cuisine located in Riverside kid friendly environment.

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