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.

Input: Consider Input: There is a five star rated French coffee shop in the riverside area near Clare Hall named Clowns.

Output: name[Clowns], eatType[coffee shop], food[French], customer rating[5 out of 5], area[riverside], near[Clare Hall]


Input: Consider Input: The Rice Boat public house is in the city centre close to Express by Holiday Inn.  It is moderately priced, has 1 out of 5 stars and is family friendly.

Output: name[The Rice Boat], food[French], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Express by Holiday Inn]


Input: Consider Input: A restaurant named The Golden Curry is located near The Bakers. It has Indian food and is not kid friendly with a moderate price range


Output: name[The Golden Curry], food[Indian], priceRange[moderate], familyFriendly[no], near[The Bakers]