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.

There is a pub near Café Brazil named The Cambridge Blue that serves reasonably priced Japanese food.
name[The Cambridge Blue], eatType[pub], food[Japanese], priceRange[less than £20], near[Café Brazil]

A child friendly restaurant with high prices is Travellers Rest Beefeater.
name[Travellers Rest Beefeater], eatType[restaurant], priceRange[high], familyFriendly[yes]

Browns Cambridge is a adults only Indian coffee shop in the riverside area. Located near Crowne Plaza Hotel. The customer rating is low.

name[Browns Cambridge], eatType[coffee shop], food[Indian], customer rating[low], area[riverside], familyFriendly[no], near[Crowne Plaza Hotel]