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.

Input: Consider Input: Bibimbap House offers French food with expensive price near Clare Hall.

Output: name[Bibimbap House], food[French], priceRange[more than £30], area[city centre], near[Clare Hall]


Input: Consider Input: For those with a larger budget, Fitzbillies is an Italian style coffee shop located on the riverside.

Output: name[Fitzbillies], eatType[coffee shop], food[Italian], priceRange[high], customer rating[average], area[riverside], familyFriendly[no]


Input: Consider Input: A child friendly restaurant with high prices is Travellers Rest Beefeater.


Output: name[Travellers Rest Beefeater], eatType[restaurant], priceRange[high], familyFriendly[yes]