DP is kinda working for "appointment" and "prescription"
This commit is contained in:
Dominik Strzako
parent
f58a1b47c7
commit
af7b8a8045
@ -28,9 +28,8 @@ class Janet:
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def process(self, command):
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act = self.nlu_v2.test_nlu(command)
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self.dst.update(act)
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dest_act = self.dp.choose_tactic(self.dst.transfer())
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return self.nlg.change_to_text(dest_act)
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return self.dp.predict(self.dst.update(act))
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#return self.nlg.change_to_text(dest_act)
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def main():
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@ -1,4 +1,9 @@
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class DP:
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from collections import defaultdict
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import copy
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import json
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from copy import deepcopy
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class DP():
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"""
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Moduł decydujący o wyborze kolejnego aktu, który ma podjąć system prowadząc rozmowę.
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@ -6,12 +11,131 @@ class DP:
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Wyjście: Akt systemu (rama)
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"""
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def __init__(self):
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pass
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def choose_tactic(self, frame_list):
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"""
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Obieranie taktyki na podstawie aktów usera. Bardzo ważna jest kolejność dodawanych do frame_list wartości.
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"""
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act_vector = [0, 0]
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return act_vector
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def predict(self, state):
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self.results = []
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system_action = defaultdict(list)
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user_action = defaultdict(list)
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for intent, domain, slot, value in state['user_action']:
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user_action[(domain, intent)].append((slot, value))
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for user_act in user_action:
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self.update_system_action(user_act, user_action, state, system_action)
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# # Reguła 3
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# if any(True for slots in user_action.values() for (slot, _) in slots if slot in ['Stay', 'Day', 'People']):
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# if self.results:
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# system_action = {('Booking', 'Book'): [["Ref", self.results[0].get('Ref', 'N/A')]]}
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# system_acts = [[intent, domain, slot, value] for (domain, intent), slots in system_action.items() for slot, value in slots]
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# state['system_action'] = system_acts
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# return system_acts
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def update_system_action(self, user_act, user_action, state, system_action):
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domain, intent = user_act
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constraints = [(slot, value) for slot, value in state['belief_state'][domain.lower()].items() if value != '']
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print(domain)
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print(intent)
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print(constraints)
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# Reguła 1
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if domain == 'appointment':
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if len(constraints) == 0:
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system_action[(domain, 'NoOffer')] = []
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elif intent == 'appointment/create_appointment':
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for x in constraints:
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if(x[0] == 'doctor'):
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system_action[(domain, 'book_appointent')].append([x[0], x[1]])
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for y in constraints:
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if(y[0] == 'datetime'):
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system_action[(domain, 'book_appointent')].append([y[0], y[1]])
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elif intent == 'appointment/set_date':
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for y in constraints:
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if(y[0] == 'datetime'):
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system_action[(domain, 'set_appointment_date')].append([y[0], y[1]])
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#################################################################################################
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# Reguła 2
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if domain == 'request_information':
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if intent == 'request_information/available_dates':
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for x in constraints:
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if(x[0] == 'doctor'):
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system_action[(domain, 'date_info')].append([x[0], x[1]])
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for y in constraints:
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if(y[0] == 'datetime'):
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system_action[(domain, 'date_info')].append([y[0], y[1]])
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elif intent == 'request_information/doctors':
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system_action[(domain, 'Doctors_list')] = []
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elif intent == 'request_information/location':
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system_action[(domain, 'Location')] = []
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elif intent == 'request_information/cost':
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system_action[(domain, 'Cost')] = []
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elif intent == 'request_information/opening_hours':
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system_action[(domain, 'Opening_Hours')] = []
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elif len(constraints) == 0:
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system_action[(domain, 'NoOffer')] = []
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#################################################################################################
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# Reguła 3
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if domain == 'end_conversation':
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system_action[(domain, 'End_Conversation')] = []
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#################################################################################################
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# Reguła 4
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if domain == 'greeting':
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system_action[(domain, 'Greeting')] = []
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#################################################################################################
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# Reguła 5
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if domain == 'prescription':
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if intent == 'prescription/request':
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for x in constraints:
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if(x[0] == 'prescription/type'):
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system_action[(domain, 'create_prescription')].append([x[0], x[1]])
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for y in constraints:
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if(y[0] == 'prescription/medicine'):
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system_action[(domain, 'create_prescription')].append([y[0], y[1]])
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elif intent == 'prescription/collect':
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for x in constraints:
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if(x[0] == 'prescription/type'):
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system_action[(domain, 'collect_prescription')].append([x[0], x[1]])
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elif intent == 'prescription/type':
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for x in constraints:
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if(x[0] == 'prescription/type_info'):
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system_action[(domain, 'prescription type')].append([x[0], x[1]])
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if len(constraints) == 0:
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system_action[(domain, 'NoOffer')] = []
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print(system_action)
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## Brakuje: Rejestracja, Login, Hasło, affirm, deny
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# if len(constraints) == 0:
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# system_action[(domain, 'NoOffer')] = []
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# else:
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# for slot in user_action[user_act]:
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# kb_slot_name = REF_SYS_DA[domain].get(slot[0], slot[0])
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# if kb_slot_name in self.results[0]:
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# system_action[(domain, 'Inform')].append([slot[0], self.results[0].get(kb_slot_name, 'unknown')])
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# # Reguła 2
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# elif intent == 'Inform':
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# if len(self.results) == 0:
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# system_action[(domain, 'NoOffer')] = []
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# else:
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# system_action[(domain, 'Inform')].append(['Choice', str(len(self.results))])
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# choice = self.results[0]
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# if domain in ["Hotel", "Attraction", "Police", "Restaurant"]:
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# system_action[(domain, 'Recommend')].append(['Name', choice['name']])
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@ -27,10 +27,20 @@ class Rules_DST(): #Dialogue State Tracker
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domain_dic = self.state['belief_state'][domain]
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if slot in domain_dic:
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self.state['belief_state'][domain][slot] = value
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else:
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print(slot)
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print(domain)
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if 'prescription' in intent:
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if (slot == 'prescription'):
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continue
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if(domain in slot):
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slot.replace(domain + "/", '')
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domain_dic = self.state['belief_state'][domain]
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if slot in domain_dic:
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self.state['belief_state'][domain][slot] = value
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elif intent == 'end_conversation':
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self.state = json.load(open('default_state.json'))
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print(self.state)
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return self.state
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@ -69,7 +69,7 @@ slot_trainer = ModelTrainer(slot_tagger, slot_corpus)
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slot_trainer.train('slot-model',
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learning_rate=0.1,
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mini_batch_size=32,
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max_epochs=100,
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max_epochs=30,
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train_with_dev=False)
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@ -77,5 +77,5 @@ frame_trainer = ModelTrainer(frame_tagger, frame_corpus)
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frame_trainer.train('frame-model',
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learning_rate=0.1,
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mini_batch_size=32,
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max_epochs=100,
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max_epochs=30,
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train_with_dev=False)
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44
Janet.conllu
44
Janet.conllu
@ -1,22 +1,22 @@
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# text: Chciałem prosić o wypisanie kolejnej recepty na lek X
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# intent: appointment/request_prescription
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# intent: prescription/request
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# slots:
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1 chciałem appointment/request_prescription NoLabel
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2 prosić appointment/request_prescription NoLabel
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3 o appointment/request_prescription NoLabel
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4 wypisanie appointment/request_prescription NoLabel
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5 kolejnej appointment/request_prescription NoLabel
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6 recepty appointment/request_prescription B-prescription
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7 na appointment/request_prescription NoLabel
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8 lek appointment/request_prescription B-prescription/type
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9 x appointment/request_prescription I-prescription/type
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1 chciałem prescription/request NoLabel
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2 prosić prescription/request NoLabel
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3 o prescription/request NoLabel
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4 wypisanie prescription/request NoLabel
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5 kolejnej prescription/request NoLabel
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6 recepty prescription/request B-prescription/type
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7 na prescription/request NoLabel
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8 lek prescription/request B-prescription/medicine
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9 x prescription/request I-prescription/medicine
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# text: proszę o E-receptę
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# intent: appointment/request_prescription
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# intent: prescription/request
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# slots:
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1 proszę appointment/request_prescription NoLabel
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2 o appointment/request_prescription NoLabel
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3 ereceptę appointment/request_prescription B-prescription
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1 proszę prescription/request NoLabel
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2 o prescription/request NoLabel
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3 ereceptę prescription/request B-prescription/type
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# text: dziękuję
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# intent: end_conversation
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@ -97,7 +97,7 @@
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# slots:
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1 jakie request_information/available_dates NoLabel
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2 są request_information/available_dates NoLabel
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3 dostępne rrequest_information/available_datesquest_information/available_dates NoLabel
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3 dostępne request_information/available_dates NoLabel
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4 terminy request_information/available_dates NoLabel
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5 wizyt request_information/available_dates B-appointment
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6 na request_information/available_dates NoLabel
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@ -117,8 +117,8 @@
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6 na appointment/create_appointment NoLabel
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7 12:00 appointment/create_appointment B-datetime
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8 dziękuję appointment/create_appointment B-end_conversation
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9 to appointment/create_appointment NoLabel I-end_conversation
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10 wszystko appointment/create_appointment NoLabel I-end_conversation
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9 to appointment/create_appointment I-end_conversation
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10 wszystko appointment/create_appointment I-end_conversation
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# text: Witam Chciałbym zarezerwować wizytę u lekarza
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# intent: appointment/create_appointment
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@ -348,14 +348,14 @@
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# slots:
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1 chciałabym prescription/collect NoLabel
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2 odebrać prescription/collect NoLabel
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3 receptę prescription/collect B-prescription
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3 receptę prescription/collect B-prescription/type
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# text: Chciałabym zamówić receptę
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# intent: prescription/request
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# slots:
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1 chciałabym prescription/request NoLabel
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2 zamówić prescription/request NoLabel
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3 receptę prescription/request B-prescription
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3 receptę prescription/request B-prescription/type
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# text: Tak
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# intent: affirm
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@ -735,12 +735,12 @@
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# slots:
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1 chcialbym prescription/collect NoLabel
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2 odebrac prescription/collect NoLabel
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3 receptę prescription/collect B-prescription
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3 receptę prescription/collect B-prescription/type
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# text: e-receptę
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# intent: prescription/type
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# intent: prescription/type_info
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# slots:
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1 e-receptę prescription/type B-prescription
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1 e-receptę prescription/type_info B-prescription/type
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# text: Tak
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# intent: affirm
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@ -15,6 +15,10 @@
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"secondname": "",
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"username": "",
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"password": ""
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},
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"prescription": {
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"prescription/type": "",
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"prescription/medicine": ""
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}
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},
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"request_state": {},
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