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: Eat in Browns Cambridge. French food for less than £20 but  has a low  customer rating
Example Output: name[Browns Cambridge], food[French], priceRange[less than £20], customer rating[low]

Example Input: The Wrestlers offers cheap Indian food with average customer rating. It is not family friendly.
Example Output: name[The Wrestlers], food[Indian], priceRange[cheap], customer rating[average], familyFriendly[no]

Example Input: Near Clare Hall is a fast food restaurant called Bibimbap House. Located near the riverside, Bibimbap House offers food with a high price tag.
Example Output:
name[Bibimbap House], food[Fast food], priceRange[more than £30], area[riverside], near[Clare Hall]