# NLU training data for the bot. # This file stores the expected queries from the user. # Whenever a user utters a message, it is always matched to an intent. # This match comes with a confidence number that can be used to identify # how much related the intent is to the uttered message. # Minumum number of examples are 2 for each intent. # When writing a new intent, update domain.yml as well. version: "2.0" nlu: - intent: greet examples: | - hey - hello - hi - hello there - good morning - good evening - moin - hey there - let's go - hey dude - goodmorning - goodevening - good afternoon - intent: goodbye examples: | - good afternoon - cu - good by - cee you later - good night - bye - goodbye - have a nice day - see you around - bye bye - see you later - intent: affirm examples: | - yes - y - indeed - of course - that sounds good - correct - intent: deny examples: | - no - n - never - I don't think so - don't like that - no way - not really - intent: ask_location examples: | - Where is the hotel? - The hotel is where? - In which city is the hotel? - intent: jumeirah_living examples: | - What is Jumeirah Living? - Is Jumeirah Living a package? - What can yo tell of Jumeirah Living? - Jumeirah Living? - Jumeirah? - intent: jumeirah_one examples: | - What is Jumeirah One? - Is Jumeirah One a package? - What can yo tell of Jumeirah One? - Jumeirah One? - Jumeirah? - intent: lost_and_found examples: | - What is your policy on list and found items? - I lost something, can it be returned? - Luggage lost - Lost my phone. - Return a lost items? - intent: jumeirah examples: | - What is Jumeirah? - Is Jumeirah a hotel or a brand? - intent: reservations examples: | - How many rooms do you have? - i want to reserve rooms - Rooms available - Book a room - Need a place to stay for the night