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: Fitzbillies is a coffee shop. It offers Indian food. It is in the high price range. It has a average customer rating. It is in the riverside area. It is not a children friendly restaurant.

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


Input: Consider Input: Found a low-priced Chinese restaurant near the Café Rouge pub. It's called The Plough and is family friendly.

Output: name[The Plough], eatType[pub], food[Chinese], priceRange[cheap], familyFriendly[yes], near[Café Rouge]


Input: Consider Input: At the riverside, nearby Raja Indian Cuisine, there is a child friendly coffee shop called The Wrestlers which serves fast food, for which you can expect to pay more than £30.


Output: name[The Wrestlers], eatType[coffee shop], food[Fast food], priceRange[more than £30], area[riverside], familyFriendly[yes], near[Raja Indian Cuisine]