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: If you are looking for somewhere serving French food there is a children friendly restaurant down by the riverside called The Waterman. I think it is about £30, maybe more and has quite low customer rating.
Example Output: name[The Waterman], food[French], priceRange[more than £30], customer rating[low], area[riverside], familyFriendly[yes]

Example Input: Blue Spice in Riverside has options priced less than £20. It's family-friendly and has an average customer rating.
Example Output: name[Blue Spice], priceRange[less than £20], customer rating[average], area[riverside], familyFriendly[yes]

Example Input: In the city centre, near the Express by Holiday Inn, is a highly rated fast food restaurant called The Rice Boat. It is not children friendly and is in the higher price bracket of more than £30.
Example Output:
name[The Rice Boat], food[Fast food], priceRange[more than £30], customer rating[high], area[city centre], familyFriendly[no], near[Express by Holiday Inn]