import copy import re from zipfile import ZipFile, ZIP_DEFLATED from shutil import copy2, rmtree import json import os from tqdm import tqdm from collections import Counter from pprint import pprint from nltk.tokenize import TreebankWordTokenizer, PunktSentenceTokenizer ontology = { "domains": { # descriptions are adapted from multiwoz22, but is_categorical may be different "attraction": { "description": "find an attraction", "slots": { "area": { "description": "area to search for attractions", "is_categorical": True, "possible_values": [ "centre", "east", "north", "south", "west" ] }, "name": { "description": "name of the attraction", "is_categorical": False, "possible_values": [] }, "type": { "description": "type of the attraction", "is_categorical": True, "possible_values": [ "architecture", "boat", "cinema", "college", "concerthall", "entertainment", "museum", "multiple sports", "nightclub", "park", "swimmingpool", "theatre" ] }, "entrance fee": { "description": "how much is the entrance fee", "is_categorical": False, "possible_values": [] }, "open hours": { "description": "open hours of the attraction", "is_categorical": False, "possible_values": [] }, "address": { "description": "address of the attraction", "is_categorical": False, "possible_values": [] }, "phone": { "description": "phone number of the attraction", "is_categorical": False, "possible_values": [] }, "postcode": { "description": "postcode of the attraction", "is_categorical": False, "possible_values": [] }, "choice": { "description": "number of attractions that meet the requirement", "is_categorical": False, "possible_values": [] } } }, "hotel": { "description": "find and book a hotel", "slots": { "internet": { "description": "whether the hotel has internet", "is_categorical": True, "possible_values": [ "free", "no", "yes" ] }, "parking": { "description": "whether the hotel has parking", "is_categorical": True, "possible_values": [ "free", "no", "yes" ] }, "area": { "description": "area or place of the hotel", "is_categorical": True, "possible_values": [ "centre", "east", "north", "south", "west" ] }, "stars": { "description": "star rating of the hotel", "is_categorical": True, "possible_values": [ "0", "1", "2", "3", "4", "5" ] }, "price range": { "description": "price budget of the hotel", "is_categorical": True, "possible_values": [ "expensive", "cheap", "moderate" ] }, "type": { "description": "what is the type of the hotel", "is_categorical": False, "possible_values": [ "guesthouse", "hotel" ] }, "name": { "description": "name of the hotel", "is_categorical": False, "possible_values": [] }, "book people": { "description": "number of people for the hotel booking", "is_categorical": False, "possible_values": [] }, "book stay": { "description": "length of stay at the hotel", "is_categorical": False, "possible_values": [] }, "book day": { "description": "day of the hotel booking", "is_categorical": True, "possible_values": [ "monday", "tuesday", "wednesday", "thursday", "friday", "saturday", "sunday" ] }, "phone": { "description": "phone number of the hotel", "is_categorical": False, "possible_values": [] }, "postcode": { "description": "postcode of the hotel", "is_categorical": False, "possible_values": [] }, "address": { "description": "address of the hotel", "is_categorical": False, "possible_values": [] }, "ref": { "description": "reference number of the hotel booking", "is_categorical": False, "possible_values": [] }, "choice": { "description": "number of hotels that meet the requirement", "is_categorical": False, "possible_values": [] } } }, "taxi": { "description": "rent taxi to travel", "slots": { "destination": { "description": "destination of taxi", "is_categorical": False, "possible_values": [] }, "departure": { "description": "departure location of taxi", "is_categorical": False, "possible_values": [] }, "leave at": { "description": "leaving time of taxi", "is_categorical": False, "possible_values": [] }, "arrive by": { "description": "arrival time of taxi", "is_categorical": False, "possible_values": [] }, "phone": { "description": "phone number of the taxi", "is_categorical": False, "possible_values": [] }, "type": { "description": "car type of the taxi", "is_categorical": False, "possible_values": [] } } }, "restaurant": { "description": "find and book a restaurant", "slots": { "price range": { "description": "price budget for the restaurant", "is_categorical": True, "possible_values": [ "cheap", "expensive", "moderate" ] }, "area": { "description": "area or place of the restaurant", "is_categorical": True, "possible_values": [ "centre", "east", "north", "south", "west" ] }, "food": { "description": "the cuisine of the restaurant", "is_categorical": False, "possible_values": [] }, "name": { "description": "name of the restaurant", "is_categorical": False, "possible_values": [] }, "address": { "description": "address of the restaurant", "is_categorical": False, "possible_values": [] }, "postcode": { "description": "postcode of the restaurant", "is_categorical": False, "possible_values": [] }, "phone": { "description": "phone number of the restaurant", "is_categorical": False, "possible_values": [] }, "book people": { "description": "number of people for the restaurant booking", "is_categorical": False, "possible_values": [] }, "book time": { "description": "time of the restaurant booking", "is_categorical": False, "possible_values": [] }, "book day": { "description": "day of the restaurant booking", "is_categorical": True, "possible_values": [ "monday", "tuesday", "wednesday", "thursday", "friday", "saturday", "sunday" ] }, "ref": { "description": "reference number of the restaurant booking", "is_categorical": False, "possible_values": [] }, "choice": { "description": "number of restaurants that meet the requirement", "is_categorical": False, "possible_values": [] } } }, "train": { "description": "find a train to travel", "slots": { "destination": { "description": "destination of the train", "is_categorical": False, "possible_values": [] }, "arrive by": { "description": "arrival time of the train", "is_categorical": False, "possible_values": [] }, "departure": { "description": "departure location of the train", "is_categorical": False, "possible_values": [] }, "leave at": { "description": "leaving time for the train", "is_categorical": False, "possible_values": [] }, "duration": { "description": "duration of the travel", "is_categorical": False, "possible_values": [] }, "book people": { "description": "number of people booking for train", "is_categorical": False, "possible_values": [] }, "day": { "description": "day of the train", "is_categorical": True, "possible_values": [ "monday", "tuesday", "wednesday", "thursday", "friday", "saturday", "sunday" ] }, "ref": { "description": "reference number of the train booking", "is_categorical": False, "possible_values": [] }, "price": { "description": "price of the train ticket", "is_categorical": False, "possible_values": [] }, "train id": { "description": "id of the train", "is_categorical": False }, "choice": { "description": "number of trains that meet the requirement", "is_categorical": False, "possible_values": [] } } }, "police": { "description": "find a police station for help", "slots": { "name": { "description": "name of the police station", "is_categorical": False, "possible_values": [] }, "address": { "description": "address of the police station", "is_categorical": False, "possible_values": [] }, "postcode": { "description": "postcode of the police station", "is_categorical": False, "possible_values": [] }, "phone": { "description": "phone number of the police station", "is_categorical": False, "possible_values": [] } } }, "hospital": { "description": "find a hospital for help", "slots": { "department": { "description": "specific department of the hospital", "is_categorical": False, "possible_values": [] }, "address": { "description": "address of the hospital", "is_categorical": False, "possible_values": [] }, "phone": { "description": "phone number of the hospital", "is_categorical": False, "possible_values": [] }, "postcode": { "description": "postcode of the hospital", "is_categorical": False, "possible_values": [] } } }, "general": { "description": "general domain without slots", "slots": {} } }, "intents": { "inform": { "description": "inform the value of a slot" }, "request": { "description": "ask for the value of a slot" }, "nobook": { "description": "inform the user that the booking is failed" }, "reqmore": { "description": "ask the user for more instructions" }, "book": { "description": "book something for the user" }, "bye": { "description": "say goodbye to the user and end the conversation" }, "thank": { "description": "thanks for the help" }, "welcome": { "description": "you're welcome" }, "greet": { "description": "express greeting" }, "recommend": { "description": "recommend a choice to the user" }, "select": { "description": "provide several choices for the user" }, "offerbook": { "description": "ask the user if he or she needs booking" }, "offerbooked": { "description": "provide information about the booking" }, "nooffer": { "description": "inform the user that there is no result satisfies user requirements" } }, "state": { "attraction": { "type": "", "name": "", "area": "" }, "hotel": { "name": "", "area": "", "parking": "", "price range": "", "stars": "", "internet": "", "type": "", "book stay": "", "book day": "", "book people": "" }, "restaurant": { "food": "", "price range": "", "name": "", "area": "", "book time": "", "book day": "", "book people": "" }, "taxi": { "leave at": "", "destination": "", "departure": "", "arrive by": "" }, "train": { "leave at": "", "destination": "", "day": "", "arrive by": "", "departure": "", "book people": "" }, "hospital": { "department": "" } }, "dialogue_acts": { "categorical": {}, "non-categorical": {}, "binary": {} } } slot_name_map = { 'addr': "address", 'post': "postcode", 'pricerange': "price range", 'arrive': "arrive by", 'arriveby': "arrive by", 'leave': "leave at", 'leaveat': "leave at", 'depart': "departure", 'dest': "destination", 'fee': "entrance fee", 'open': 'open hours', 'car': "type", 'car type': "type", 'ticket': 'price', 'trainid': 'train id', 'id': 'train id', 'people': 'book people', 'stay': 'book stay', 'none': '', 'attraction': { 'price': 'entrance fee' }, 'hospital': {}, 'hotel': { 'day': 'book day', 'price': "price range" }, 'restaurant': { 'day': 'book day', 'time': 'book time', 'price': "price range" }, 'taxi': {}, 'train': { 'day': 'day', 'time': "duration" }, 'police': {}, 'booking': {} } reverse_da_slot_name_map = { 'address': 'Addr', 'postcode': 'Post', 'price range': 'Price', 'arrive by': 'Arrive', 'leave at': 'Leave', 'departure': 'Depart', 'destination': 'Dest', 'entrance fee': 'Fee', 'open hours': 'Open', 'price': 'Ticket', 'train id': 'Id', 'book people': 'People', 'book stay': 'Stay', 'book day': 'Day', 'book time': 'Time', 'duration': 'Time', 'taxi': { 'type': 'Car', 'phone': 'Phone' } } digit2word = { '0': 'zero', '1': 'one', '2': 'two', '3': 'three', '4': 'four', '5': 'five', '6': 'six', '7': 'seven', '8': 'eight', '9': 'nine', '10': 'ten' } cnt_domain_slot = Counter() class BookingActRemapper: def __init__(self, ontology): self.ontology = ontology self.reset() def reset(self): self.current_domains_user = [] self.current_domains_system = [] self.booked_domains = [] def retrieve_current_domain_from_user(self, turn_id, ori_dialog): prev_user_turn = ori_dialog[turn_id - 1] dialog_acts = prev_user_turn.get('dialog_act', []) keyword_domains_user = get_keyword_domains(prev_user_turn) current_domains_temp = get_current_domains_from_act(dialog_acts) self.current_domains_user = current_domains_temp if current_domains_temp else self.current_domains_user next_user_domains = get_next_user_act_domains(ori_dialog, turn_id) return keyword_domains_user, next_user_domains def retrieve_current_domain_from_system(self, turn_id, ori_dialog): system_turn = ori_dialog[turn_id] dialog_acts = system_turn.get('dialog_act', []) keyword_domains_system = get_keyword_domains(system_turn) current_domains_temp = get_current_domains_from_act(dialog_acts) self.current_domains_system = current_domains_temp if current_domains_temp else self.current_domains_system booked_domain_current = self.check_domain_booked(system_turn) return keyword_domains_system, booked_domain_current def remap(self, turn_id, ori_dialog): keyword_domains_user, next_user_domains = self.retrieve_current_domain_from_user(turn_id, ori_dialog) keyword_domains_system, booked_domain_current = self.retrieve_current_domain_from_system(turn_id, ori_dialog) # only need to remap if there is a dialog action labelled dialog_acts = ori_dialog[turn_id].get('dialog_act', []) spans = ori_dialog[turn_id].get('span_info', []) if dialog_acts: flattened_acts = flatten_acts(dialog_acts) flattened_spans = flatten_span_acts(spans) remapped_acts, error_local = remap_acts(flattened_acts, self.current_domains_user, booked_domain_current, keyword_domains_user, keyword_domains_system, self.current_domains_system, next_user_domains, self.ontology) remapped_spans, _ = remap_acts(flattened_spans, self.current_domains_user, booked_domain_current, keyword_domains_user, keyword_domains_system, self.current_domains_system, next_user_domains, self.ontology) deflattened_remapped_acts = deflat_acts(remapped_acts) deflattened_remapped_spans = deflat_span_acts(remapped_spans) return deflattened_remapped_acts, deflattened_remapped_spans else: return dialog_acts, spans def check_domain_booked(self, turn): booked_domain_current = None for domain in turn['metadata']: if turn['metadata'][domain]["book"]["booked"] and domain not in self.booked_domains: booked_domain_current = domain.capitalize() self.booked_domains.append(domain) return booked_domain_current def get_keyword_domains(turn): keyword_domains = [] text = turn['text'] for d in ["Hotel", "Restaurant", "Train"]: if d.lower() in text.lower(): keyword_domains.append(d) return keyword_domains def get_current_domains_from_act(dialog_acts): current_domains_temp = [] for dom_int in dialog_acts: domain, intent = dom_int.split('-') if domain in ["general", "Booking"]: continue if domain not in current_domains_temp: current_domains_temp.append(domain) return current_domains_temp def get_next_user_act_domains(ori_dialog, turn_id): domains = [] try: next_user_act = ori_dialog[turn_id + 1]['dialog_act'] domains = get_current_domains_from_act(next_user_act) except: # will fail if system act is the last act of the dialogue pass return domains def flatten_acts(dialog_acts): flattened_acts = [] for dom_int in dialog_acts: domain, intent = dom_int.split('-') for slot_value in dialog_acts[dom_int]: slot = slot_value[0] value = slot_value[1] flattened_acts.append((domain, intent, slot, value)) return flattened_acts def flatten_span_acts(span_acts): flattened_acts = [] for span_act in span_acts: domain, intent = span_act[0].split("-") flattened_acts.append((domain, intent, span_act[1], span_act[2:])) return flattened_acts def deflat_acts(flattened_acts): dialog_acts = dict() for act in flattened_acts: domain, intent, slot, value = act if f"{domain}-{intent}" not in dialog_acts.keys(): dialog_acts[f"{domain}-{intent}"] = [[slot, value]] else: dialog_acts[f"{domain}-{intent}"].append([slot, value]) return dialog_acts def deflat_span_acts(flattened_acts): dialog_span_acts = [] for act in flattened_acts: domain, intent, slot, value = act if value == 'none': continue new_act = [f"{domain}-{intent}", slot] new_act.extend(value) dialog_span_acts.append(new_act) return dialog_span_acts def remap_acts(flattened_acts, current_domains, booked_domain=None, keyword_domains_user=None, keyword_domains_system=None, current_domain_system=None, next_user_domain=None, ontology=None): # We now look for all cases that can happen: Booking domain, Booking within a domain or taxi-inform-car for booking error = 0 remapped_acts = [] # if there is more than one current domain or none at all, we try to get booked domain differently if len(current_domains) != 1 and booked_domain: current_domains = [booked_domain] elif len(current_domains) != 1 and len(keyword_domains_user) == 1: current_domains = keyword_domains_user elif len(current_domains) != 1 and len(keyword_domains_system) == 1: current_domains = keyword_domains_system elif len(current_domains) != 1 and len(current_domain_system) == 1: current_domains = current_domain_system elif len(current_domains) != 1 and len(next_user_domain) == 1: current_domains = next_user_domain for act in flattened_acts: try: domain, intent, slot, value = act if f"{domain}-{intent}-{slot}" == "Booking-Book-Ref": # We need to remap that booking act now potential_domain = current_domains[0] remapped_acts.append((potential_domain, "Book", "none", "none")) if ontology_check(potential_domain, slot, ontology): remapped_acts.append((potential_domain, "Inform", "Ref", value)) elif domain == "Booking" and intent == "Book" and slot != "Ref": # the book intent is here actually an inform intent according to the data potential_domain = current_domains[0] if ontology_check(potential_domain, slot, ontology): remapped_acts.append((potential_domain, "Inform", slot, value)) elif domain == "Booking" and intent == "Inform": # the inform intent is here actually a request intent according to the data potential_domain = current_domains[0] if ontology_check(potential_domain, slot, ontology): remapped_acts.append((potential_domain, "OfferBook", slot, value)) elif domain == "Booking" and intent in ["NoBook", "Request"]: potential_domain = current_domains[0] if ontology_check(potential_domain, slot, ontology): remapped_acts.append((potential_domain, intent, slot, value)) elif f"{domain}-{intent}-{slot}" == "Taxi-Inform-Car": # taxi-inform-car actually triggers the booking and informs on a car remapped_acts.append((domain, "Book", "none", "none")) remapped_acts.append((domain, intent, slot, value)) elif f"{domain}-{intent}-{slot}" in ["Train-Inform-Ref", "Train-OfferBooked-Ref"]: # train-inform/offerbooked-ref actually triggers the booking and informs on the reference number remapped_acts.append((domain, "Book", "none", "none")) remapped_acts.append((domain, "Inform", slot, value)) elif domain == "Train" and intent == "OfferBooked" and slot != "Ref": # this is actually an inform act remapped_acts.append((domain, "Inform", slot, value)) else: remapped_acts.append(act) except Exception as e: print("Error detected:", e) error += 1 return remapped_acts, error def ontology_check(domain_, slot_, init_ontology): domain = domain_.lower() slot = slot_.lower() if slot not in init_ontology['domains'][domain]['slots']: if slot in slot_name_map: slot = slot_name_map[slot] elif slot in slot_name_map[domain]: slot = slot_name_map[domain][slot] return slot in init_ontology['domains'][domain]['slots'] def reverse_da(dialogue_acts): global reverse_da_slot_name_map das = {} for da_type in dialogue_acts: for da in dialogue_acts[da_type]: intent, domain, slot, value = da['intent'], da['domain'], da['slot'], da.get('value', '') if domain == 'general': Domain_Intent = '-'.join([domain, intent]) elif intent == 'nooffer': Domain_Intent = '-'.join([domain.capitalize(), 'NoOffer']) elif intent == 'nobook': Domain_Intent = '-'.join([domain.capitalize(), 'NoBook']) elif intent == 'offerbook': Domain_Intent = '-'.join([domain.capitalize(), 'OfferBook']) else: Domain_Intent = '-'.join([domain.capitalize(), intent.capitalize()]) das.setdefault(Domain_Intent, []) if slot in reverse_da_slot_name_map: Slot = reverse_da_slot_name_map[slot] elif domain in reverse_da_slot_name_map and slot in reverse_da_slot_name_map[domain]: Slot = reverse_da_slot_name_map[domain][slot] else: Slot = slot.capitalize() if value == '': if intent == 'request': value = '?' else: value = 'none' if Slot == '': Slot = 'none' das[Domain_Intent].append([Slot, value]) return das def normalize_domain_slot_value(domain, slot, value): global ontology, slot_name_map domain = domain.lower() slot = slot.lower() value = value.strip() if value in ['do nt care', "do n't care"]: value = 'dontcare' if value in ['?', 'none', 'not mentioned']: value = "" if domain not in ontology['domains']: raise Exception(f'{domain} not in ontology') if slot not in ontology['domains'][domain]['slots']: if slot in slot_name_map: slot = slot_name_map[slot] elif slot in slot_name_map[domain]: slot = slot_name_map[domain][slot] else: raise Exception(f'{domain}-{slot} not in ontology') assert slot == '' or slot in ontology['domains'][domain]['slots'], f'{(domain, slot, value)} not in ontology' return domain, slot, value def convert_da(da_dict, utt, sent_tokenizer, word_tokenizer): ''' convert multiwoz dialogue acts to required format :param da_dict: dict[(intent, domain, slot, value)] = [word_start, word_end] :param utt: user or system utt ''' global ontology, digit2word, cnt_domain_slot converted_da = { 'categorical': [], 'non-categorical': [], 'binary': [] } sentences = sent_tokenizer.tokenize(utt) sent_spans = sent_tokenizer.span_tokenize(utt) tokens = [token for sent in sentences for token in word_tokenizer.tokenize(sent)] token_spans = [(sent_span[0] + token_span[0], sent_span[0] + token_span[1]) for sent, sent_span in zip(sentences, sent_spans) for token_span in word_tokenizer.span_tokenize(sent)] # assert len(tokens) == len(token_spans) # for token, span in zip(tokens, token_spans): # if utt[span[0]:span[1]] != '"': # assert utt[span[0]:span[1]] == token for (intent, domain, slot, value), span in da_dict.items(): if intent == 'request' or slot == '' or value == '': # binary dialog acts assert value == '' converted_da['binary'].append({ 'intent': intent, 'domain': domain, 'slot': slot }) elif ontology['domains'][domain]['slots'][slot]['is_categorical']: # categorical dialog acts converted_da['categorical'].append({ 'intent': intent, 'domain': domain, 'slot': slot, 'value': value }) else: # non-categorical dialog acts converted_da['non-categorical'].append({ 'intent': intent, 'domain': domain, 'slot': slot, 'value': value }) # correct some value and try to give char level span match = False value = value.lower() if span and span[0] <= span[1]: # use original span annotation, but tokenizations are different start_word, end_word = span if end_word >= len(tokens): # due to different tokenization, sometimes will out of index delta = end_word - len(tokens) + 1 start_word -= delta end_word -= delta start_char, end_char = token_spans[start_word][0], token_spans[end_word][1] value_span = utt[start_char:end_char].lower() match = True if value_span == value: cnt_domain_slot['span match'] += 1 elif value.isdigit() and value in digit2word and digit2word[value] == value_span: # !!!CHANGE VALUE: value is digit but value span is word cnt_domain_slot['digit value match'] += 1 elif ''.join(value.split()) == ''.join(value_span.split()): # !!!CHANGE VALUE: equal when remove blank cnt_domain_slot['remove blank'] += 1 elif value in value_span: # value in value_span start_char += value_span.index(value) end_char = start_char + len(value) assert utt[start_char:end_char].lower() == value, f'{[value, utt[start_char:end_char], utt]}' cnt_domain_slot['value in span'] += 1 elif ':' in value and value == '0' + value_span: # !!!CHANGE VALUE: time x:xx == 0x:xx cnt_domain_slot['x:xx == 0x:xx'] += 1 else: # span mismatch, search near 1-2 words for window in range(1, 3): start = max(0, start_word - window) end = min(len(token_spans) - 1, end_word + window) large_span = utt[token_spans[start][0]:token_spans[end][1]].lower() if value in large_span: start_char = token_spans[start][0] + large_span.index(value) end_char = start_char + len(value) assert utt[ start_char:end_char].lower() == value, f'{[value, utt[start_char:end_char], utt]}' cnt_domain_slot[f'window={window}'] += 1 break else: # still not found match = False if match: converted_da['non-categorical'][-1]['value'] = utt[start_char:end_char] converted_da['non-categorical'][-1]['start'] = start_char converted_da['non-categorical'][-1]['end'] = end_char cnt_domain_slot['have span'] += 1 else: cnt_domain_slot['no span'] += 1 return converted_da def preprocess(): original_data_dir = 'MultiWOZ_2.1' new_data_dir = 'data' if not os.path.exists(original_data_dir): original_data_zip = 'MultiWOZ_2.1.zip' if not os.path.exists(original_data_zip): raise FileNotFoundError( f'cannot find original data {original_data_zip} in multiwoz21/, should manually download MultiWOZ_2.1.zip from https://github.com/budzianowski/multiwoz/blob/master/data/MultiWOZ_2.1.zip') else: archive = ZipFile(original_data_zip) archive.extractall() os.makedirs(new_data_dir, exist_ok=True) for filename in os.listdir(original_data_dir): if 'db' in filename: copy2(f'{original_data_dir}/{filename}', new_data_dir) original_data = json.load(open(f'{original_data_dir}/data.json')) global ontology, cnt_domain_slot val_list = set(open(f'{original_data_dir}/valListFile.txt').read().split()) test_list = set(open(f'{original_data_dir}/testListFile.txt').read().split()) dataset = 'multiwoz21' splits = ['train', 'validation', 'test'] dialogues_by_split = {split: [] for split in splits} sent_tokenizer = PunktSentenceTokenizer() word_tokenizer = TreebankWordTokenizer() booking_remapper = BookingActRemapper(ontology) for ori_dialog_id, ori_dialog in tqdm(original_data.items()): if ori_dialog_id in val_list: split = 'validation' elif ori_dialog_id in test_list: split = 'test' else: split = 'train' dialogue_id = f'{dataset}-{split}-{len(dialogues_by_split[split])}' # get user goal and involved domains cur_domains = [] goal = { 'description': '. '.join(ori_dialog['goal']['message']), 'inform': {}, 'request': {} } for k, v in ori_dialog['goal'].items(): if len(v) != 0 and k in ontology['domains']: cur_domains.append(k) goal['inform'][k] = {} goal['request'][k] = {} for attr in ['fail_info', 'info', 'fail_book', 'book']: if attr in v: for slot, value in v[attr].items(): if 'invalid' in slot: continue domain, slot, value = normalize_domain_slot_value(k, slot, value) if slot in goal['inform'][domain]: goal['inform'][domain][slot] += '|' + value else: goal['inform'][domain][slot] = value if 'reqt' in v: for slot in v['reqt']: domain, slot, _ = normalize_domain_slot_value(k, slot, '') goal['request'][domain][slot] = '' dialogue = { 'dataset': dataset, 'data_split': split, 'dialogue_id': dialogue_id, 'original_id': ori_dialog_id, 'domains': cur_domains, # will be updated by dialog_acts and state 'goal': goal, 'turns': [] } booking_remapper.reset() belief_domains = ['attraction', 'restaurant', 'train', 'hotel', 'taxi', 'hospital'] entity_booked_dict = dict((domain, False) for domain in belief_domains) for turn_id, turn in enumerate(ori_dialog['log']): # correct some grammar errors in the text, mainly following `tokenization.md` in MultiWOZ_2.1 text = turn['text'] text = re.sub(" Im ", " I'm ", text) text = re.sub(" im ", " i'm ", text) text = re.sub(r"^Im ", "I'm ", text) text = re.sub(r"^im ", "i'm ", text) text = re.sub("theres", "there's", text) text = re.sub("dont", "don't", text) text = re.sub("whats", "what's", text) text = re.sub('thats', "that's", text) utt = text speaker = 'user' if turn_id % 2 == 0 else 'system' das = turn.get('dialog_act', []) spans = turn.get('span_info', []) if speaker == 'system': das, spans = booking_remapper.remap(turn_id, ori_dialog['log']) da_dict = {} # transform DA for Domain_Intent in das: domain, intent = Domain_Intent.lower().split('-') assert intent in ontology['intents'], f'{ori_dialog_id}:{turn_id}:da\t{intent} not in ontology' for Slot, value in das[Domain_Intent]: domain, slot, value = normalize_domain_slot_value(domain, Slot, value) if domain not in cur_domains: # update original cur_domains cur_domains.append(domain) da_dict[(intent, domain, slot, value,)] = [] for span in spans: Domain_Intent, Slot, value, start_word, end_word = span domain, intent = Domain_Intent.lower().split('-') domain, slot, value = normalize_domain_slot_value(domain, Slot, value) assert (intent, domain, slot, value,) in da_dict da_dict[(intent, domain, slot, value,)] = [start_word, end_word] dialogue_acts = convert_da(da_dict, utt, sent_tokenizer, word_tokenizer) # reverse_das = reverse_da(dialogue_acts) # das_list = sorted([(Domain_Intent, Slot, ''.join(value.split()).lower()) for Domain_Intent in das for Slot, value in das[Domain_Intent]]) # reverse_das_list = sorted([(Domain_Intent, Slot, ''.join(value.split()).lower()) for Domain_Intent in reverse_das for Slot, value in reverse_das[Domain_Intent]]) # if das_list != reverse_das_list: # print(das_list) # print(reverse_das_list) # print() # print() dialogue['turns'].append({ 'speaker': speaker, 'utterance': utt, 'utt_idx': turn_id, 'dialogue_acts': dialogue_acts, }) # add to dialogue_acts dictionary in the ontology for da_type in dialogue_acts: das = dialogue_acts[da_type] for da in das: ontology["dialogue_acts"][da_type].setdefault((da['intent'], da['domain'], da['slot']), {}) ontology["dialogue_acts"][da_type][(da['intent'], da['domain'], da['slot'])][speaker] = True if speaker == 'system': # add state to last user turn # add empty db_results turn_state = turn['metadata'] cur_state = copy.deepcopy(ontology['state']) booked = {} for domain in turn_state: if domain not in cur_state: continue for subdomain in ['semi', 'book']: for slot, value in turn_state[domain][subdomain].items(): if slot == 'ticket': continue elif slot == 'booked': assert domain in ontology['domains'] booked[domain] = value continue _, slot, value = normalize_domain_slot_value(domain, slot, value) cur_state[domain][slot] = value dialogue['turns'][-2]['state'] = cur_state entity_booked_dict, booked = fix_entity_booked_info(entity_booked_dict, booked) dialogue['turns'][-1]['booked'] = booked dialogues_by_split[split].append(dialogue) # pprint(cnt_domain_slot.most_common()) dialogues = [] for split in splits: dialogues += dialogues_by_split[split] for da_type in ontology['dialogue_acts']: ontology["dialogue_acts"][da_type] = sorted([str( {'user': speakers.get('user', False), 'system': speakers.get('system', False), 'intent': da[0], 'domain': da[1], 'slot': da[2]}) for da, speakers in ontology["dialogue_acts"][da_type].items()]) json.dump(dialogues[:10], open(f'dummy_data.json', 'w', encoding='utf-8'), indent=2, ensure_ascii=False) json.dump(ontology, open(f'{new_data_dir}/ontology.json', 'w', encoding='utf-8'), indent=2, ensure_ascii=False) json.dump(dialogues, open(f'{new_data_dir}/dialogues.json', 'w', encoding='utf-8'), indent=2, ensure_ascii=False) with ZipFile('data.zip', 'w', ZIP_DEFLATED) as zf: for filename in os.listdir(new_data_dir): zf.write(f'{new_data_dir}/{filename}') rmtree(original_data_dir) rmtree(new_data_dir) return dialogues, ontology def fix_entity_booked_info(entity_booked_dict, booked): for domain in entity_booked_dict: if not entity_booked_dict[domain] and booked[domain]: entity_booked_dict[domain] = True booked[domain] = [] return entity_booked_dict, booked if __name__ == '__main__': preprocess()