63 lines
3.9 KiB
Plaintext
63 lines
3.9 KiB
Plaintext
[Condition]
|
||
RobotNear_<items_place>, On_<items>_<place>, Holding_<items>, Exists_<items>, IsClean_<furniture>, Active_<appliance>, Closed_<furnishing>, Low_<control>
|
||
|
||
|
||
[Object]
|
||
<items>=['Coffee', 'Water', 'Dessert', 'Softdrink', 'BottledDrink', 'Yogurt', 'ADMilk', 'MilkDrink', 'Milk', 'VacuumCup','Chips', 'NFCJuice', 'Bernachon', 'ADMilk', 'SpringWater', 'Apple', 'Banana', 'Mangosteen', 'Orange','Kettle', 'PaperCup', 'Bread', 'LunchBox','Teacup', 'Chocolate', 'Sandwiches', 'Mugs','Watermelon', 'Tomato', 'CleansingFoam','CocountMilk','SugarlessGum', 'MedicalAdhensiveTape', 'SourMilkDrink', 'PaperCup','Tissue', 'YogurtDrink', 'Newspaper', 'Box','PaperCupStarbucks', 'CoffeeMachine', 'Straw', 'Cake','Tray', 'Bread','Glass', 'Door','Mug', 'Machine','PackagedCoffee', 'CubeSugar','Apple', 'Spoon','Drinks', 'Drink','Ice', 'Saucer','TrashBin', 'Knife','Cube']
|
||
<place>=['Bar', 'Bar2', 'WaterStation', 'CoffeeStation', 'Table1', 'Table2', 'Table3', 'WindowTable6','WindowTable4', 'WindowTable5','QuietTable1', 'QuietTable2', 'QuietTable3', 'ReadingNook', 'Entrance', 'Exit', 'LoungeArea', 'HighSeats','VIPLounge', 'MerchZone']
|
||
<items_place>=<items>+<place>
|
||
<furniture>=['Table1','Floor','Chairs']
|
||
<appliance>=['AC','TubeLight','HallLight']
|
||
<furnishing>=['Curtain']
|
||
<control>=['ACTemperature']
|
||
|
||
|
||
[Examples]
|
||
|
||
Instruction: "Would you be able to provide some chips at the third table?"
|
||
Goal: On_Chips_Table3
|
||
|
||
Instruction: If you have time, could you please hold the milk for me, or pull the curtains, or perhaps switch on the AC?
|
||
Closed_Curtain | Active_AC | Holding_Milk
|
||
|
||
Instruction: Please turn up the air conditioning and come to the bar counter.
|
||
RobotNear_Bar & ~Low_ACTemperature
|
||
|
||
Instruction: Please ensure the water is ready for service, and deliver the yogurt to table number one.
|
||
Exists_Water & On_Yogurt_Table1
|
||
|
||
Instruction: Let's not have the AC too cold. Could you turn off these tube lights and open the curtains for some natural light?
|
||
~Low_ACTemperature & ~Active_TubeLight & ~Closed_Curtain
|
||
|
||
|
||
|
||
|
||
[Prompt]
|
||
[Condition] Lists all predicates representing conditions and their optional parameter sets.
|
||
[Object] Lists all parameter sets.
|
||
[Examples] Provide several examples of Instruction to Goal mapping.
|
||
|
||
Your task is to interpret customer instructions within a café setting and translate them into specific goals using logical expressions. Utilize the [Conditions] (e.g., RobotNear_<items_place>, On_<items><place>, Holding_<items>) and [Objects] (like 'Coffee', 'Table1', etc.) to construct these expressions.
|
||
Apply logical operators (&, |, ~) to combine these elements appropriately.
|
||
& (AND Operator): Combines conditions such that the result is true only if both conditions are true.
|
||
| (OR Operator): Combines conditions such that the result is true if at least one of the conditions is true.
|
||
~ (NOT Operator): Negates or reverses the truth value of a single condition.
|
||
This process should accurately map each given instruction to a clear, actionable goal in the context of the café environment.
|
||
Please generate directly interpretable predicate formulas without additional explanations.
|
||
The predicate formulas can be converted into disjunctive paradigms (DNFs) using the python package sympy.to_dnf.
|
||
|
||
% 不要出现 [Blacklist] 中单词，若出现<Illegal Condition>中的单词，Please select the closest predicates from the [Condition] table to form the answer。若出现<Illegal Object>中的单词，Please select the closest parameter from the [Object] table to form the answer.
|
||
|
||
|
||
|
||
[Blacklist]
|
||
<Illegal Condition>=[]
|
||
<Illegal Object>=[Fries, Table6]
|
||
<Other Illegal Words or Characters>=[]
|
||
[Blacklist] Contains restricted elements.
|
||
Do not include words from the [Blacklist] in the predicate formulas.
|
||
If a word from <Illegal Condition> is encountered, select the most relevant predicates from the [Condition] table to construct the answer.
|
||
If a word from <Illegal Object> is encountered, choose the nearest parameter from the [Object] table to formulate the answer.
|
||
|
||
|