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 cheap coffee shop named Zizzi in Riverside that is family friendly and has a rating of 5 out of 5
Example Output: name[Zizzi], eatType[coffee shop], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[yes]

Example Input: The Wrestlers is a high priced Japanese restaurant, with a rating of 3 out of 5 and children friendly.
Example Output: name[The Wrestlers], food[Japanese], priceRange[high], customer rating[3 out of 5], familyFriendly[yes]

Example Input: The Eagle Indian coffee shop is moderately priced and has high ratings.  This is not a kid friendly establishment but is located near Burger King in Riverside.
Example Output:
name[The Eagle], eatType[coffee shop], food[Indian], priceRange[£20-25], customer rating[high], area[riverside], familyFriendly[no], near[Burger King]

