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.

Example Input: There is a riverside pub, The Mill, which provides French cuisine
Example Output: name[The Mill], eatType[pub], food[French], priceRange[more than £30], area[riverside]

Example Input: Cotto is coffee shop near The Portland Arms in the city center. It also offers Japanese food in a moderate price range. Cotto is rated 1 out of 5 by its customers.
Example Output: name[Cotto], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], area[city centre], near[The Portland Arms]

Example Input: Despite not being family friendly, Local coffee shop, Fitzbillies located in the City Centre offers Indian food at a cheap price. IT has a customer rating of 5 out of 5.
Example Output:
name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[no]