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: Midsummer House serves a French food, and this French restaurant is locate  near Café Rouge. Midsummer House, but it has average rating.
Example Output: name[Midsummer House], food[French], customer rating[average], near[Café Rouge]

Example Input: The Waterman is a family friendly fast food establishment situated close to the Crown Plaza Hotel.
Example Output: name[The Waterman], food[Fast food], familyFriendly[yes], near[Crowne Plaza Hotel]

Example Input: The Olive Grove is a high priced Indian pub located in the Riverside area and is child friendly.
Example Output:
name[The Olive Grove], eatType[pub], food[Indian], priceRange[high], area[riverside], familyFriendly[yes]