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 3-star coffee shop called Clowns located east of Clare Hall.
Example Output: name[Clowns], eatType[coffee shop], food[Fast food], customer rating[average], area[riverside], near[Clare Hall]

Example Input: Wildwood is a highly rated French pub with a price range of £20-25.
Example Output: name[Wildwood], eatType[pub], food[French], priceRange[£20-25], customer rating[high]

Example Input: The Waterman is a cheap Indian food restaurant near the city centre. It has an average customer rating and is not family friendly.
Example Output:
name[The Waterman], food[Indian], priceRange[cheap], customer rating[average], area[city centre], familyFriendly[no]