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 kid friendly restaurant called The Cricketers has a 3 out of 5 rating and serves Italian food. They are close to the coffee shop called The Portland Arms

A: name[The Cricketers], eatType[coffee shop], food[Italian], customer rating[3 out of 5], familyFriendly[yes], near[The Portland Arms]
****
Q: Bibimbap House provides Chinese food in riverside. It is near The Rice Boat.

A: name[Bibimbap House], food[Chinese], area[riverside], near[The Rice Boat]
****
Q: By the riverside, near Raja Indian Cuisine, there is a Japanese coffee shop named The Wrestlers. It is not kid-friendly, and is in the moderate price range.

A:
name[The Wrestlers], eatType[coffee shop], food[Japanese], priceRange[moderate], area[riverside], familyFriendly[no], near[Raja Indian Cuisine]
****