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.

Ex Input:
In the centre of the city, there is a restaurant called The Waterman.  It is a highly recommended, yet inexpensive, restaurant for families.

Ex Output:
name[The Waterman], food[French], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[yes]


Ex Input:
Cotto is a coffee Shop It provides fast foods at a reduced price and is located near the river,there The Portland Arms

Ex Output:
name[Cotto], eatType[coffee shop], food[French], priceRange[more than £30], customer rating[low], area[riverside], near[The Portland Arms]


Ex Input:
The Mill is a beautiful riverside coffee shop that offers affordable and delicious small bites from around the world.  It is just down the road from The Sorrento

Ex Output:

name[The Mill], eatType[coffee shop], food[French], priceRange[less than £20], area[riverside], near[The Sorrento]