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.

Q: The Plough is an Indian pub near Café Rouge.  They are family friendly and cost less than £20.

A: name[The Plough], eatType[pub], food[Indian], priceRange[less than £20], familyFriendly[yes], near[Café Rouge]
****
Q: Blue Spice in Riverside has options priced less than £20. It's family-friendly and has an average customer rating.

A: name[Blue Spice], priceRange[less than £20], customer rating[average], area[riverside], familyFriendly[yes]
****
Q: Near Café Brazil, by the river, there is an inexpensive coffee shop named The Vaults. It is highly rated.

A:
name[The Vaults], eatType[coffee shop], priceRange[cheap], customer rating[5 out of 5], area[riverside], near[Café Brazil]
****