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1
+ import copy
2
+ import re
3
+ from zipfile import ZipFile, ZIP_DEFLATED
4
+ from shutil import copy2, rmtree
5
+ import json
6
+ import os
7
+ from tqdm import tqdm
8
+ from collections import Counter
9
+ from pprint import pprint
10
+ from nltk.tokenize import TreebankWordTokenizer, PunktSentenceTokenizer
11
+
12
+ ontology = {
13
+ "domains": { # descriptions are adapted from multiwoz22, but is_categorical may be different
14
+ "attraction": {
15
+ "description": "find an attraction",
16
+ "slots": {
17
+ "area": {
18
+ "description": "area to search for attractions",
19
+ "is_categorical": True,
20
+ "possible_values": [
21
+ "centre",
22
+ "east",
23
+ "north",
24
+ "south",
25
+ "west"
26
+ ]
27
+ },
28
+ "name": {
29
+ "description": "name of the attraction",
30
+ "is_categorical": False,
31
+ "possible_values": []
32
+ },
33
+ "type": {
34
+ "description": "type of the attraction",
35
+ "is_categorical": True,
36
+ "possible_values": [
37
+ "architecture",
38
+ "boat",
39
+ "cinema",
40
+ "college",
41
+ "concerthall",
42
+ "entertainment",
43
+ "museum",
44
+ "multiple sports",
45
+ "nightclub",
46
+ "park",
47
+ "swimmingpool",
48
+ "theatre"
49
+ ]
50
+ },
51
+ "entrance fee": {
52
+ "description": "how much is the entrance fee",
53
+ "is_categorical": False,
54
+ "possible_values": []
55
+ },
56
+ "open hours": {
57
+ "description": "open hours of the attraction",
58
+ "is_categorical": False,
59
+ "possible_values": []
60
+ },
61
+ "address": {
62
+ "description": "address of the attraction",
63
+ "is_categorical": False,
64
+ "possible_values": []
65
+ },
66
+ "phone": {
67
+ "description": "phone number of the attraction",
68
+ "is_categorical": False,
69
+ "possible_values": []
70
+ },
71
+ "postcode": {
72
+ "description": "postcode of the attraction",
73
+ "is_categorical": False,
74
+ "possible_values": []
75
+ },
76
+ "choice": {
77
+ "description": "number of attractions that meet the requirement",
78
+ "is_categorical": False,
79
+ "possible_values": []
80
+ }
81
+ }
82
+ },
83
+ "hotel": {
84
+ "description": "find and book a hotel",
85
+ "slots": {
86
+ "internet": {
87
+ "description": "whether the hotel has internet",
88
+ "is_categorical": True,
89
+ "possible_values": [
90
+ "free",
91
+ "no",
92
+ "yes"
93
+ ]
94
+ },
95
+ "parking": {
96
+ "description": "whether the hotel has parking",
97
+ "is_categorical": True,
98
+ "possible_values": [
99
+ "free",
100
+ "no",
101
+ "yes"
102
+ ]
103
+ },
104
+ "area": {
105
+ "description": "area or place of the hotel",
106
+ "is_categorical": True,
107
+ "possible_values": [
108
+ "centre",
109
+ "east",
110
+ "north",
111
+ "south",
112
+ "west"
113
+ ]
114
+ },
115
+ "stars": {
116
+ "description": "star rating of the hotel",
117
+ "is_categorical": True,
118
+ "possible_values": [
119
+ "0",
120
+ "1",
121
+ "2",
122
+ "3",
123
+ "4",
124
+ "5"
125
+ ]
126
+ },
127
+ "price range": {
128
+ "description": "price budget of the hotel",
129
+ "is_categorical": True,
130
+ "possible_values": [
131
+ "expensive",
132
+ "cheap",
133
+ "moderate"
134
+ ]
135
+ },
136
+ "type": {
137
+ "description": "what is the type of the hotel",
138
+ "is_categorical": False,
139
+ "possible_values": [
140
+ "guesthouse",
141
+ "hotel"
142
+ ]
143
+ },
144
+ "name": {
145
+ "description": "name of the hotel",
146
+ "is_categorical": False,
147
+ "possible_values": []
148
+ },
149
+ "book people": {
150
+ "description": "number of people for the hotel booking",
151
+ "is_categorical": False,
152
+ "possible_values": []
153
+ },
154
+ "book stay": {
155
+ "description": "length of stay at the hotel",
156
+ "is_categorical": False,
157
+ "possible_values": []
158
+ },
159
+ "book day": {
160
+ "description": "day of the hotel booking",
161
+ "is_categorical": True,
162
+ "possible_values": [
163
+ "monday",
164
+ "tuesday",
165
+ "wednesday",
166
+ "thursday",
167
+ "friday",
168
+ "saturday",
169
+ "sunday"
170
+ ]
171
+ },
172
+ "phone": {
173
+ "description": "phone number of the hotel",
174
+ "is_categorical": False,
175
+ "possible_values": []
176
+ },
177
+ "postcode": {
178
+ "description": "postcode of the hotel",
179
+ "is_categorical": False,
180
+ "possible_values": []
181
+ },
182
+ "address": {
183
+ "description": "address of the hotel",
184
+ "is_categorical": False,
185
+ "possible_values": []
186
+ },
187
+ "ref": {
188
+ "description": "reference number of the hotel booking",
189
+ "is_categorical": False,
190
+ "possible_values": []
191
+ },
192
+ "choice": {
193
+ "description": "number of hotels that meet the requirement",
194
+ "is_categorical": False,
195
+ "possible_values": []
196
+ }
197
+ }
198
+ },
199
+ "taxi": {
200
+ "description": "rent taxi to travel",
201
+ "slots": {
202
+ "destination": {
203
+ "description": "destination of taxi",
204
+ "is_categorical": False,
205
+ "possible_values": []
206
+ },
207
+ "departure": {
208
+ "description": "departure location of taxi",
209
+ "is_categorical": False,
210
+ "possible_values": []
211
+ },
212
+ "leave at": {
213
+ "description": "leaving time of taxi",
214
+ "is_categorical": False,
215
+ "possible_values": []
216
+ },
217
+ "arrive by": {
218
+ "description": "arrival time of taxi",
219
+ "is_categorical": False,
220
+ "possible_values": []
221
+ },
222
+ "phone": {
223
+ "description": "phone number of the taxi",
224
+ "is_categorical": False,
225
+ "possible_values": []
226
+ },
227
+ "type": {
228
+ "description": "car type of the taxi",
229
+ "is_categorical": False,
230
+ "possible_values": []
231
+ }
232
+ }
233
+ },
234
+ "restaurant": {
235
+ "description": "find and book a restaurant",
236
+ "slots": {
237
+ "price range": {
238
+ "description": "price budget for the restaurant",
239
+ "is_categorical": True,
240
+ "possible_values": [
241
+ "cheap",
242
+ "expensive",
243
+ "moderate"
244
+ ]
245
+ },
246
+ "area": {
247
+ "description": "area or place of the restaurant",
248
+ "is_categorical": True,
249
+ "possible_values": [
250
+ "centre",
251
+ "east",
252
+ "north",
253
+ "south",
254
+ "west"
255
+ ]
256
+ },
257
+ "food": {
258
+ "description": "the cuisine of the restaurant",
259
+ "is_categorical": False,
260
+ "possible_values": []
261
+ },
262
+ "name": {
263
+ "description": "name of the restaurant",
264
+ "is_categorical": False,
265
+ "possible_values": []
266
+ },
267
+ "address": {
268
+ "description": "address of the restaurant",
269
+ "is_categorical": False,
270
+ "possible_values": []
271
+ },
272
+ "postcode": {
273
+ "description": "postcode of the restaurant",
274
+ "is_categorical": False,
275
+ "possible_values": []
276
+ },
277
+ "phone": {
278
+ "description": "phone number of the restaurant",
279
+ "is_categorical": False,
280
+ "possible_values": []
281
+ },
282
+ "book people": {
283
+ "description": "number of people for the restaurant booking",
284
+ "is_categorical": False,
285
+ "possible_values": []
286
+ },
287
+ "book time": {
288
+ "description": "time of the restaurant booking",
289
+ "is_categorical": False,
290
+ "possible_values": []
291
+ },
292
+ "book day": {
293
+ "description": "day of the restaurant booking",
294
+ "is_categorical": True,
295
+ "possible_values": [
296
+ "monday",
297
+ "tuesday",
298
+ "wednesday",
299
+ "thursday",
300
+ "friday",
301
+ "saturday",
302
+ "sunday"
303
+ ]
304
+ },
305
+ "ref": {
306
+ "description": "reference number of the restaurant booking",
307
+ "is_categorical": False,
308
+ "possible_values": []
309
+ },
310
+ "choice": {
311
+ "description": "number of restaurants that meet the requirement",
312
+ "is_categorical": False,
313
+ "possible_values": []
314
+ }
315
+ }
316
+ },
317
+ "train": {
318
+ "description": "find a train to travel",
319
+ "slots": {
320
+ "destination": {
321
+ "description": "destination of the train",
322
+ "is_categorical": False,
323
+ "possible_values": []
324
+ },
325
+ "arrive by": {
326
+ "description": "arrival time of the train",
327
+ "is_categorical": False,
328
+ "possible_values": []
329
+ },
330
+ "departure": {
331
+ "description": "departure location of the train",
332
+ "is_categorical": False,
333
+ "possible_values": []
334
+ },
335
+ "leave at": {
336
+ "description": "leaving time for the train",
337
+ "is_categorical": False,
338
+ "possible_values": []
339
+ },
340
+ "duration": {
341
+ "description": "duration of the travel",
342
+ "is_categorical": False,
343
+ "possible_values": []
344
+ },
345
+ "book people": {
346
+ "description": "number of people booking for train",
347
+ "is_categorical": False,
348
+ "possible_values": []
349
+ },
350
+ "day": {
351
+ "description": "day of the train",
352
+ "is_categorical": True,
353
+ "possible_values": [
354
+ "monday",
355
+ "tuesday",
356
+ "wednesday",
357
+ "thursday",
358
+ "friday",
359
+ "saturday",
360
+ "sunday"
361
+ ]
362
+ },
363
+ "ref": {
364
+ "description": "reference number of the train booking",
365
+ "is_categorical": False,
366
+ "possible_values": []
367
+ },
368
+ "price": {
369
+ "description": "price of the train ticket",
370
+ "is_categorical": False,
371
+ "possible_values": []
372
+ },
373
+ "train id": {
374
+ "description": "id of the train",
375
+ "is_categorical": False
376
+ },
377
+ "choice": {
378
+ "description": "number of trains that meet the requirement",
379
+ "is_categorical": False,
380
+ "possible_values": []
381
+ }
382
+ }
383
+ },
384
+ "police": {
385
+ "description": "find a police station for help",
386
+ "slots": {
387
+ "name": {
388
+ "description": "name of the police station",
389
+ "is_categorical": False,
390
+ "possible_values": []
391
+ },
392
+ "address": {
393
+ "description": "address of the police station",
394
+ "is_categorical": False,
395
+ "possible_values": []
396
+ },
397
+ "postcode": {
398
+ "description": "postcode of the police station",
399
+ "is_categorical": False,
400
+ "possible_values": []
401
+ },
402
+ "phone": {
403
+ "description": "phone number of the police station",
404
+ "is_categorical": False,
405
+ "possible_values": []
406
+ }
407
+ }
408
+ },
409
+ "hospital": {
410
+ "description": "find a hospital for help",
411
+ "slots": {
412
+ "department": {
413
+ "description": "specific department of the hospital",
414
+ "is_categorical": False,
415
+ "possible_values": []
416
+ },
417
+ "address": {
418
+ "description": "address of the hospital",
419
+ "is_categorical": False,
420
+ "possible_values": []
421
+ },
422
+ "phone": {
423
+ "description": "phone number of the hospital",
424
+ "is_categorical": False,
425
+ "possible_values": []
426
+ },
427
+ "postcode": {
428
+ "description": "postcode of the hospital",
429
+ "is_categorical": False,
430
+ "possible_values": []
431
+ }
432
+ }
433
+ },
434
+ "general": {
435
+ "description": "general domain without slots",
436
+ "slots": {}
437
+ }
438
+ },
439
+ "intents": {
440
+ "inform": {
441
+ "description": "inform the value of a slot"
442
+ },
443
+ "request": {
444
+ "description": "ask for the value of a slot"
445
+ },
446
+ "nobook": {
447
+ "description": "inform the user that the booking is failed"
448
+ },
449
+ "reqmore": {
450
+ "description": "ask the user for more instructions"
451
+ },
452
+ "book": {
453
+ "description": "book something for the user"
454
+ },
455
+ "bye": {
456
+ "description": "say goodbye to the user and end the conversation"
457
+ },
458
+ "thank": {
459
+ "description": "thanks for the help"
460
+ },
461
+ "welcome": {
462
+ "description": "you're welcome"
463
+ },
464
+ "greet": {
465
+ "description": "express greeting"
466
+ },
467
+ "recommend": {
468
+ "description": "recommend a choice to the user"
469
+ },
470
+ "select": {
471
+ "description": "provide several choices for the user"
472
+ },
473
+ "offerbook": {
474
+ "description": "ask the user if he or she needs booking"
475
+ },
476
+ "offerbooked": {
477
+ "description": "provide information about the booking"
478
+ },
479
+ "nooffer": {
480
+ "description": "inform the user that there is no result satisfies user requirements"
481
+ }
482
+ },
483
+ "state": {
484
+ "attraction": {
485
+ "type": "",
486
+ "name": "",
487
+ "area": ""
488
+ },
489
+ "hotel": {
490
+ "name": "",
491
+ "area": "",
492
+ "parking": "",
493
+ "price range": "",
494
+ "stars": "",
495
+ "internet": "",
496
+ "type": "",
497
+ "book stay": "",
498
+ "book day": "",
499
+ "book people": ""
500
+ },
501
+ "restaurant": {
502
+ "food": "",
503
+ "price range": "",
504
+ "name": "",
505
+ "area": "",
506
+ "book time": "",
507
+ "book day": "",
508
+ "book people": ""
509
+ },
510
+ "taxi": {
511
+ "leave at": "",
512
+ "destination": "",
513
+ "departure": "",
514
+ "arrive by": ""
515
+ },
516
+ "train": {
517
+ "leave at": "",
518
+ "destination": "",
519
+ "day": "",
520
+ "arrive by": "",
521
+ "departure": "",
522
+ "book people": ""
523
+ },
524
+ "hospital": {
525
+ "department": ""
526
+ }
527
+ },
528
+ "dialogue_acts": {
529
+ "categorical": {},
530
+ "non-categorical": {},
531
+ "binary": {}
532
+ }
533
+ }
534
+
535
+ slot_name_map = {
536
+ 'addr': "address",
537
+ 'post': "postcode",
538
+ 'pricerange': "price range",
539
+ 'arrive': "arrive by",
540
+ 'arriveby': "arrive by",
541
+ 'leave': "leave at",
542
+ 'leaveat': "leave at",
543
+ 'depart': "departure",
544
+ 'dest': "destination",
545
+ 'fee': "entrance fee",
546
+ 'open': 'open hours',
547
+ 'car': "type",
548
+ 'car type': "type",
549
+ 'ticket': 'price',
550
+ 'trainid': 'train id',
551
+ 'id': 'train id',
552
+ 'people': 'book people',
553
+ 'stay': 'book stay',
554
+ 'none': '',
555
+ 'attraction': {
556
+ 'price': 'entrance fee'
557
+ },
558
+ 'hospital': {},
559
+ 'hotel': {
560
+ 'day': 'book day', 'price': "price range"
561
+ },
562
+ 'restaurant': {
563
+ 'day': 'book day', 'time': 'book time', 'price': "price range"
564
+ },
565
+ 'taxi': {},
566
+ 'train': {
567
+ 'day': 'day', 'time': "duration"
568
+ },
569
+ 'police': {},
570
+ 'booking': {}
571
+ }
572
+
573
+ reverse_da_slot_name_map = {
574
+ 'address': 'Addr',
575
+ 'postcode': 'Post',
576
+ 'price range': 'Price',
577
+ 'arrive by': 'Arrive',
578
+ 'leave at': 'Leave',
579
+ 'departure': 'Depart',
580
+ 'destination': 'Dest',
581
+ 'entrance fee': 'Fee',
582
+ 'open hours': 'Open',
583
+ 'price': 'Ticket',
584
+ 'train id': 'Id',
585
+ 'book people': 'People',
586
+ 'book stay': 'Stay',
587
+ 'book day': 'Day',
588
+ 'book time': 'Time',
589
+ 'duration': 'Time',
590
+ 'taxi': {
591
+ 'type': 'Car',
592
+ 'phone': 'Phone'
593
+ }
594
+ }
595
+
596
+ digit2word = {
597
+ '0': 'zero', '1': 'one', '2': 'two', '3': 'three', '4': 'four', '5': 'five',
598
+ '6': 'six', '7': 'seven', '8': 'eight', '9': 'nine', '10': 'ten'
599
+ }
600
+
601
+ cnt_domain_slot = Counter()
602
+
603
+
604
+ class BookingActRemapper:
605
+
606
+ def __init__(self, ontology):
607
+ self.ontology = ontology
608
+ self.reset()
609
+
610
+ def reset(self):
611
+ self.current_domains_user = []
612
+ self.current_domains_system = []
613
+ self.booked_domains = []
614
+
615
+ def retrieve_current_domain_from_user(self, turn_id, ori_dialog):
616
+ prev_user_turn = ori_dialog[turn_id - 1]
617
+
618
+ dialog_acts = prev_user_turn.get('dialog_act', [])
619
+ keyword_domains_user = get_keyword_domains(prev_user_turn)
620
+ current_domains_temp = get_current_domains_from_act(dialog_acts)
621
+ self.current_domains_user = current_domains_temp if current_domains_temp else self.current_domains_user
622
+ next_user_domains = get_next_user_act_domains(ori_dialog, turn_id)
623
+
624
+ return keyword_domains_user, next_user_domains
625
+
626
+ def retrieve_current_domain_from_system(self, turn_id, ori_dialog):
627
+
628
+ system_turn = ori_dialog[turn_id]
629
+ dialog_acts = system_turn.get('dialog_act', [])
630
+ keyword_domains_system = get_keyword_domains(system_turn)
631
+ current_domains_temp = get_current_domains_from_act(dialog_acts)
632
+ self.current_domains_system = current_domains_temp if current_domains_temp else self.current_domains_system
633
+ booked_domain_current = self.check_domain_booked(system_turn)
634
+
635
+ return keyword_domains_system, booked_domain_current
636
+
637
+ def remap(self, turn_id, ori_dialog):
638
+
639
+ keyword_domains_user, next_user_domains = self.retrieve_current_domain_from_user(
640
+ turn_id, ori_dialog)
641
+ keyword_domains_system, booked_domain_current = self.retrieve_current_domain_from_system(
642
+ turn_id, ori_dialog)
643
+
644
+ # only need to remap if there is a dialog action labelled
645
+ dialog_acts = ori_dialog[turn_id].get('dialog_act', [])
646
+ spans = ori_dialog[turn_id].get('span_info', [])
647
+ if dialog_acts:
648
+
649
+ flattened_acts = flatten_acts(dialog_acts)
650
+ flattened_spans = flatten_span_acts(spans)
651
+ remapped_acts, error_local = remap_acts(flattened_acts, self.current_domains_user,
652
+ booked_domain_current, keyword_domains_user,
653
+ keyword_domains_system, self.current_domains_system,
654
+ next_user_domains, self.ontology)
655
+
656
+ remapped_spans, _ = remap_acts(flattened_spans, self.current_domains_user,
657
+ booked_domain_current, keyword_domains_user,
658
+ keyword_domains_system, self.current_domains_system,
659
+ next_user_domains, self.ontology)
660
+
661
+ deflattened_remapped_acts = deflat_acts(remapped_acts)
662
+ deflattened_remapped_spans = deflat_span_acts(remapped_spans)
663
+
664
+ return deflattened_remapped_acts, deflattened_remapped_spans
665
+ else:
666
+ return dialog_acts, spans
667
+
668
+ def check_domain_booked(self, turn):
669
+
670
+ booked_domain_current = None
671
+ return booked_domain_current
672
+
673
+ # workaround
674
+ for domain in turn['metadata']:
675
+ if turn['metadata'][domain]["book"]["booked"] and domain not in self.booked_domains:
676
+ booked_domain_current = domain.capitalize()
677
+ self.booked_domains.append(domain)
678
+ return booked_domain_current
679
+
680
+
681
+ def get_keyword_domains(turn):
682
+ keyword_domains = []
683
+ text = turn['text']
684
+ for d in ["Hotel", "Restaurant", "Train"]:
685
+ if d.lower() in text.lower():
686
+ keyword_domains.append(d)
687
+ return keyword_domains
688
+
689
+
690
+ def get_current_domains_from_act(dialog_acts):
691
+
692
+ current_domains_temp = []
693
+ for dom_int in dialog_acts:
694
+ domain, intent = dom_int.split('-')
695
+ if domain in ["general", "Booking"]:
696
+ continue
697
+ if domain not in current_domains_temp:
698
+ current_domains_temp.append(domain)
699
+
700
+ return current_domains_temp
701
+
702
+
703
+ def get_next_user_act_domains(ori_dialog, turn_id):
704
+ domains = []
705
+ try:
706
+ next_user_act = ori_dialog[turn_id + 1]['dialog_act']
707
+ domains = get_current_domains_from_act(next_user_act)
708
+ except:
709
+ # will fail if system act is the last act of the dialogue
710
+ pass
711
+ return domains
712
+
713
+
714
+ def flatten_acts(dialog_acts):
715
+ flattened_acts = []
716
+ for dom_int in dialog_acts:
717
+ domain, intent = dom_int.split('-')
718
+ for slot_value in dialog_acts[dom_int]:
719
+ slot = slot_value[0]
720
+ value = slot_value[1]
721
+ flattened_acts.append((domain, intent, slot, value))
722
+
723
+ return flattened_acts
724
+
725
+
726
+ def flatten_span_acts(span_acts):
727
+
728
+ flattened_acts = []
729
+ for span_act in span_acts:
730
+ domain, intent = span_act[0].split("-")
731
+ flattened_acts.append((domain, intent, span_act[1], span_act[2:]))
732
+ return flattened_acts
733
+
734
+
735
+ def deflat_acts(flattened_acts):
736
+
737
+ dialog_acts = dict()
738
+
739
+ for act in flattened_acts:
740
+ domain, intent, slot, value = act
741
+ if f"{domain}-{intent}" not in dialog_acts.keys():
742
+ dialog_acts[f"{domain}-{intent}"] = [[slot, value]]
743
+ else:
744
+ dialog_acts[f"{domain}-{intent}"].append([slot, value])
745
+
746
+ return dialog_acts
747
+
748
+
749
+ def deflat_span_acts(flattened_acts):
750
+
751
+ dialog_span_acts = []
752
+ for act in flattened_acts:
753
+ domain, intent, slot, value = act
754
+ if value == 'none':
755
+ continue
756
+ new_act = [f"{domain}-{intent}", slot]
757
+ new_act.extend(value)
758
+ dialog_span_acts.append(new_act)
759
+
760
+ return dialog_span_acts
761
+
762
+
763
+ def remap_acts(flattened_acts, current_domains, booked_domain=None, keyword_domains_user=None,
764
+ keyword_domains_system=None, current_domain_system=None, next_user_domain=None, ontology=None):
765
+
766
+ # We now look for all cases that can happen: Booking domain, Booking within a domain or taxi-inform-car for booking
767
+ error = 0
768
+ remapped_acts = []
769
+
770
+ # if there is more than one current domain or none at all, we try to get booked domain differently
771
+ if len(current_domains) != 1 and booked_domain:
772
+ current_domains = [booked_domain]
773
+ elif len(current_domains) != 1 and len(keyword_domains_user) == 1:
774
+ current_domains = keyword_domains_user
775
+ elif len(current_domains) != 1 and len(keyword_domains_system) == 1:
776
+ current_domains = keyword_domains_system
777
+ elif len(current_domains) != 1 and len(current_domain_system) == 1:
778
+ current_domains = current_domain_system
779
+ elif len(current_domains) != 1 and len(next_user_domain) == 1:
780
+ current_domains = next_user_domain
781
+
782
+ for act in flattened_acts:
783
+ try:
784
+ domain, intent, slot, value = act
785
+ if f"{domain}-{intent}-{slot}" == "Booking-Book-Ref":
786
+ # We need to remap that booking act now
787
+ potential_domain = current_domains[0]
788
+ remapped_acts.append(
789
+ (potential_domain, "Book", "none", "none"))
790
+ if ontology_check(potential_domain, slot, ontology):
791
+ remapped_acts.append(
792
+ (potential_domain, "Inform", "Ref", value))
793
+ elif domain == "Booking" and intent == "Book" and slot != "Ref":
794
+ # the book intent is here actually an inform intent according to the data
795
+ potential_domain = current_domains[0]
796
+ if ontology_check(potential_domain, slot, ontology):
797
+ remapped_acts.append(
798
+ (potential_domain, "Inform", slot, value))
799
+ elif domain == "Booking" and intent == "Inform":
800
+ # the inform intent is here actually a request intent according to the data
801
+ potential_domain = current_domains[0]
802
+ if ontology_check(potential_domain, slot, ontology):
803
+ remapped_acts.append(
804
+ (potential_domain, "OfferBook", slot, value))
805
+ elif domain == "Booking" and intent in ["NoBook", "Request"]:
806
+ potential_domain = current_domains[0]
807
+ if ontology_check(potential_domain, slot, ontology):
808
+ remapped_acts.append(
809
+ (potential_domain, intent, slot, value))
810
+ elif f"{domain}-{intent}-{slot}" == "Taxi-Inform-Car":
811
+ # taxi-inform-car actually triggers the booking and informs on a car
812
+ remapped_acts.append((domain, "Book", "none", "none"))
813
+ remapped_acts.append((domain, intent, slot, value))
814
+ elif f"{domain}-{intent}-{slot}" in ["Train-Inform-Ref", "Train-OfferBooked-Ref"]:
815
+ # train-inform/offerbooked-ref actually triggers the booking and informs on the reference number
816
+ remapped_acts.append((domain, "Book", "none", "none"))
817
+ remapped_acts.append((domain, "Inform", slot, value))
818
+ elif domain == "Train" and intent == "OfferBooked" and slot != "Ref":
819
+ # this is actually an inform act
820
+ remapped_acts.append((domain, "Inform", slot, value))
821
+ else:
822
+ remapped_acts.append(act)
823
+ except Exception as e:
824
+ print("Error detected:", e)
825
+ error += 1
826
+
827
+ return remapped_acts, error
828
+
829
+
830
+ def ontology_check(domain_, slot_, init_ontology):
831
+
832
+ domain = domain_.lower()
833
+ slot = slot_.lower()
834
+ if slot not in init_ontology['domains'][domain]['slots']:
835
+ if slot in slot_name_map:
836
+ slot = slot_name_map[slot]
837
+ elif slot in slot_name_map[domain]:
838
+ slot = slot_name_map[domain][slot]
839
+ return slot in init_ontology['domains'][domain]['slots']
840
+
841
+
842
+ def reverse_da(dialogue_acts):
843
+ global reverse_da_slot_name_map
844
+ das = {}
845
+ for da_type in dialogue_acts:
846
+ for da in dialogue_acts[da_type]:
847
+ intent, domain, slot, value = da['intent'], da['domain'], da['slot'], da.get(
848
+ 'value', '')
849
+ if domain == 'general':
850
+ Domain_Intent = '-'.join([domain, intent])
851
+ elif intent == 'nooffer':
852
+ Domain_Intent = '-'.join([domain.capitalize(), 'NoOffer'])
853
+ elif intent == 'nobook':
854
+ Domain_Intent = '-'.join([domain.capitalize(), 'NoBook'])
855
+ elif intent == 'offerbook':
856
+ Domain_Intent = '-'.join([domain.capitalize(), 'OfferBook'])
857
+ else:
858
+ Domain_Intent = '-'.join([domain.capitalize(),
859
+ intent.capitalize()])
860
+ das.setdefault(Domain_Intent, [])
861
+ if slot in reverse_da_slot_name_map:
862
+ Slot = reverse_da_slot_name_map[slot]
863
+ elif domain in reverse_da_slot_name_map and slot in reverse_da_slot_name_map[domain]:
864
+ Slot = reverse_da_slot_name_map[domain][slot]
865
+ else:
866
+ Slot = slot.capitalize()
867
+ if value == '':
868
+ if intent == 'request':
869
+ value = '?'
870
+ else:
871
+ value = 'none'
872
+ if Slot == '':
873
+ Slot = 'none'
874
+ das[Domain_Intent].append([Slot, value])
875
+ return das
876
+
877
+
878
+ def normalize_domain_slot_value(domain, slot, value):
879
+ global ontology, slot_name_map
880
+ domain = domain.lower()
881
+ slot = slot.lower()
882
+ value = value.strip()
883
+ if value in ['do nt care', "do n't care"]:
884
+ value = 'dontcare'
885
+ if value in ['?', 'none', 'not mentioned']:
886
+ value = ""
887
+ if domain not in ontology['domains']:
888
+ raise Exception(f'{domain} not in ontology')
889
+ if slot not in ontology['domains'][domain]['slots']:
890
+ if slot in slot_name_map:
891
+ slot = slot_name_map[slot]
892
+ elif slot in slot_name_map[domain]:
893
+ slot = slot_name_map[domain][slot]
894
+ else:
895
+ raise Exception(f'{domain}-{slot} not in ontology')
896
+ assert slot == '' or slot in ontology['domains'][domain][
897
+ 'slots'], f'{(domain, slot, value)} not in ontology'
898
+ return domain, slot, value
899
+
900
+
901
+ def convert_da(da_dict, utt, sent_tokenizer, word_tokenizer):
902
+ '''
903
+ convert multiwoz dialogue acts to required format
904
+ :param da_dict: dict[(intent, domain, slot, value)] = [word_start, word_end]
905
+ :param utt: user or system utt
906
+ '''
907
+ global ontology, digit2word, cnt_domain_slot
908
+
909
+ converted_da = {
910
+ 'categorical': [],
911
+ 'non-categorical': [],
912
+ 'binary': []
913
+ }
914
+ sentences = sent_tokenizer.tokenize(utt)
915
+ sent_spans = sent_tokenizer.span_tokenize(utt)
916
+ tokens = [
917
+ token for sent in sentences for token in word_tokenizer.tokenize(sent)]
918
+ token_spans = [(sent_span[0] + token_span[0], sent_span[0] + token_span[1]) for sent, sent_span in
919
+ zip(sentences, sent_spans) for token_span in word_tokenizer.span_tokenize(sent)]
920
+ # assert len(tokens) == len(token_spans)
921
+ # for token, span in zip(tokens, token_spans):
922
+ # if utt[span[0]:span[1]] != '"':
923
+ # assert utt[span[0]:span[1]] == token
924
+
925
+ for (intent, domain, slot, value), span in da_dict.items():
926
+ if intent == 'request' or slot == '' or value == '':
927
+ # binary dialog acts
928
+ assert value == ''
929
+ converted_da['binary'].append({
930
+ 'intent': intent,
931
+ 'domain': domain,
932
+ 'slot': slot
933
+ })
934
+ elif ontology['domains'][domain]['slots'][slot]['is_categorical']:
935
+ # categorical dialog acts
936
+ converted_da['categorical'].append({
937
+ 'intent': intent,
938
+ 'domain': domain,
939
+ 'slot': slot,
940
+ 'value': value
941
+ })
942
+ else:
943
+ # non-categorical dialog acts
944
+ converted_da['non-categorical'].append({
945
+ 'intent': intent,
946
+ 'domain': domain,
947
+ 'slot': slot,
948
+ 'value': value
949
+ })
950
+ # correct some value and try to give char level span
951
+ match = False
952
+ value = value.lower()
953
+ if span and span[0] <= span[1]:
954
+ # use original span annotation, but tokenizations are different
955
+ start_word, end_word = span
956
+ if end_word >= len(tokens):
957
+ # due to different tokenization, sometimes will out of index
958
+ delta = end_word - len(tokens) + 1
959
+ start_word -= delta
960
+ end_word -= delta
961
+ start_char, end_char = token_spans[start_word][0], token_spans[end_word][1]
962
+ value_span = utt[start_char:end_char].lower()
963
+ match = True
964
+ if value_span == value:
965
+ cnt_domain_slot['span match'] += 1
966
+ elif value.isdigit() and value in digit2word and digit2word[value] == value_span:
967
+ # !!!CHANGE VALUE: value is digit but value span is word
968
+ cnt_domain_slot['digit value match'] += 1
969
+ elif ''.join(value.split()) == ''.join(value_span.split()):
970
+ # !!!CHANGE VALUE: equal when remove blank
971
+ cnt_domain_slot['remove blank'] += 1
972
+ elif value in value_span:
973
+ # value in value_span
974
+ start_char += value_span.index(value)
975
+ end_char = start_char + len(value)
976
+ assert utt[start_char:end_char].lower(
977
+ ) == value, f'{[value, utt[start_char:end_char], utt]}'
978
+ cnt_domain_slot['value in span'] += 1
979
+ elif ':' in value and value == '0' + value_span:
980
+ # !!!CHANGE VALUE: time x:xx == 0x:xx
981
+ cnt_domain_slot['x:xx == 0x:xx'] += 1
982
+ else:
983
+ # span mismatch, search near 1-2 words
984
+ for window in range(1, 3):
985
+ start = max(0, start_word - window)
986
+ end = min(len(token_spans) - 1, end_word + window)
987
+ large_span = utt[token_spans[start]
988
+ [0]:token_spans[end][1]].lower()
989
+ if value in large_span:
990
+ start_char = token_spans[start][0] + \
991
+ large_span.index(value)
992
+ end_char = start_char + len(value)
993
+ assert utt[
994
+ start_char:end_char].lower() == value, f'{[value, utt[start_char:end_char], utt]}'
995
+ cnt_domain_slot[f'window={window}'] += 1
996
+ break
997
+ else:
998
+ # still not found
999
+ match = False
1000
+
1001
+ if match:
1002
+ converted_da['non-categorical'][-1]['value'] = utt[start_char:end_char]
1003
+ converted_da['non-categorical'][-1]['start'] = start_char
1004
+ converted_da['non-categorical'][-1]['end'] = end_char
1005
+ cnt_domain_slot['have span'] += 1
1006
+ else:
1007
+ cnt_domain_slot['no span'] += 1
1008
+ return converted_da
1009
+
1010
+
1011
+ def preprocess():
1012
+ original_data_dir = 'emowoz'
1013
+ new_data_dir = 'data'
1014
+
1015
+ if not os.path.exists(original_data_dir):
1016
+ original_data_zip = 'MultiWOZ_2.1.zip'
1017
+ if not os.path.exists(original_data_zip):
1018
+ raise FileNotFoundError(
1019
+ 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')
1020
+ else:
1021
+ archive = ZipFile(original_data_zip)
1022
+ archive.extractall()
1023
+
1024
+ os.makedirs(new_data_dir, exist_ok=True)
1025
+ for filename in os.listdir(original_data_dir):
1026
+ if 'db' in filename:
1027
+ copy2(f'{original_data_dir}/{filename}', new_data_dir)
1028
+
1029
+ # how about emowoz-dialmage
1030
+ original_data = json.load(
1031
+ open(f'{original_data_dir}/emowoz-multiwoz.json'))
1032
+ global ontology, cnt_domain_slot
1033
+
1034
+ data_split = json.load(open(f'{original_data_dir}/data_split.json'))
1035
+ val_list = data_split["dev"]["multiwoz"]
1036
+ test_list = data_split["test"]["multiwoz"]
1037
+ # val_list = set(open(f'{original_data_dir}/valListFile.txt').read().split())
1038
+ # test_list = set(open(f'{original_data_dir}/testListFile.txt').read().split())
1039
+ dataset = 'multiwoz21'
1040
+ splits = ['train', 'validation', 'test']
1041
+ dialogues_by_split = {split: [] for split in splits}
1042
+ sent_tokenizer = PunktSentenceTokenizer()
1043
+ word_tokenizer = TreebankWordTokenizer()
1044
+ booking_remapper = BookingActRemapper(ontology)
1045
+ for ori_dialog_id, ori_dialog in tqdm(original_data.items()):
1046
+ if ori_dialog_id in val_list:
1047
+ split = 'validation'
1048
+ elif ori_dialog_id in test_list:
1049
+ split = 'test'
1050
+ else:
1051
+ split = 'train'
1052
+ dialogue_id = f'{dataset}-{split}-{len(dialogues_by_split[split])}'
1053
+
1054
+ # get user goal and involved domains
1055
+ cur_domains = []
1056
+
1057
+ dialogue = {
1058
+ 'dataset': dataset,
1059
+ 'data_split': split,
1060
+ 'dialogue_id': dialogue_id,
1061
+ 'original_id': ori_dialog_id,
1062
+ 'domains': cur_domains, # will be updated by dialog_acts and state
1063
+ 'goal': "",
1064
+ 'turns': []
1065
+ }
1066
+
1067
+ booking_remapper.reset()
1068
+ belief_domains = ['attraction', 'restaurant',
1069
+ 'train', 'hotel', 'taxi', 'hospital']
1070
+ entity_booked_dict = dict((domain, False) for domain in belief_domains)
1071
+ for turn_id, turn in enumerate(ori_dialog['log']):
1072
+ # correct some grammar errors in the text, mainly following `tokenization.md` in MultiWOZ_2.1
1073
+ text = turn['text']
1074
+ text = re.sub(" Im ", " I'm ", text)
1075
+ text = re.sub(" im ", " i'm ", text)
1076
+ text = re.sub(r"^Im ", "I'm ", text)
1077
+ text = re.sub(r"^im ", "i'm ", text)
1078
+ text = re.sub("theres", "there's", text)
1079
+ text = re.sub("dont", "don't", text)
1080
+ text = re.sub("whats", "what's", text)
1081
+ text = re.sub('thats', "that's", text)
1082
+ utt = text
1083
+ speaker = 'user' if turn_id % 2 == 0 else 'system'
1084
+
1085
+ das = turn.get('dialog_act', [])
1086
+ spans = turn.get('span_info', [])
1087
+
1088
+ if speaker == 'system':
1089
+ das, spans = booking_remapper.remap(turn_id, ori_dialog['log'])
1090
+
1091
+ da_dict = {}
1092
+ # transform DA
1093
+ for Domain_Intent in das:
1094
+ domain, intent = Domain_Intent.lower().split('-')
1095
+ assert intent in ontology['intents'], f'{ori_dialog_id}:{turn_id}:da\t{intent} not in ontology'
1096
+ for Slot, value in das[Domain_Intent]:
1097
+ domain, slot, value = normalize_domain_slot_value(
1098
+ domain, Slot, value)
1099
+ if domain not in cur_domains:
1100
+ # update original cur_domains
1101
+ cur_domains.append(domain)
1102
+ da_dict[(intent, domain, slot, value,)] = []
1103
+
1104
+ for span in spans:
1105
+ Domain_Intent, Slot, value, start_word, end_word = span
1106
+ domain, intent = Domain_Intent.lower().split('-')
1107
+ domain, slot, value = normalize_domain_slot_value(
1108
+ domain, Slot, value)
1109
+ assert (intent, domain, slot, value,) in da_dict
1110
+ da_dict[(intent, domain, slot, value,)] = [
1111
+ start_word, end_word]
1112
+
1113
+ dialogue_acts = convert_da(
1114
+ da_dict, utt, sent_tokenizer, word_tokenizer)
1115
+
1116
+ # reverse_das = reverse_da(dialogue_acts)
1117
+ # das_list = sorted([(Domain_Intent, Slot, ''.join(value.split()).lower()) for Domain_Intent in das for Slot, value in das[Domain_Intent]])
1118
+ # 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]])
1119
+ # if das_list != reverse_das_list:
1120
+ # print(das_list)
1121
+ # print(reverse_das_list)
1122
+ # print()
1123
+ # print()
1124
+
1125
+ dialogue['turns'].append({
1126
+ 'speaker': speaker,
1127
+ 'utterance': utt,
1128
+ 'utt_idx': turn_id,
1129
+ 'dialogue_acts': dialogue_acts,
1130
+ 'emotion': turn['emotion']
1131
+ })
1132
+
1133
+ # add to dialogue_acts dictionary in the ontology
1134
+ for da_type in dialogue_acts:
1135
+ das = dialogue_acts[da_type]
1136
+ for da in das:
1137
+ ontology["dialogue_acts"][da_type].setdefault(
1138
+ (da['intent'], da['domain'], da['slot']), {})
1139
+ ontology["dialogue_acts"][da_type][(
1140
+ da['intent'], da['domain'], da['slot'])][speaker] = True
1141
+
1142
+ if speaker == 'system':
1143
+ # add state to last user turn
1144
+ # add empty db_results
1145
+ # turn_state = turn['metadata']
1146
+ cur_state = copy.deepcopy(ontology['state'])
1147
+ booked = {}
1148
+ # for domain in turn_state:
1149
+ # if domain not in cur_state:
1150
+ # continue
1151
+ # for subdomain in ['semi', 'book']:
1152
+ # for slot, value in turn_state[domain][subdomain].items():
1153
+ # if slot == 'ticket':
1154
+ # continue
1155
+ # elif slot == 'booked':
1156
+ # assert domain in ontology['domains']
1157
+ # booked[domain] = value
1158
+ # continue
1159
+ # _, slot, value = normalize_domain_slot_value(
1160
+ # domain, slot, value)
1161
+ # cur_state[domain][slot] = value
1162
+ dialogue['turns'][-2]['state'] = cur_state
1163
+ # entity_booked_dict, booked = fix_entity_booked_info(
1164
+ # entity_booked_dict, booked)
1165
+ dialogue['turns'][-1]['booked'] = booked
1166
+ dialogues_by_split[split].append(dialogue)
1167
+ # pprint(cnt_domain_slot.most_common())
1168
+ dialogues = []
1169
+ for split in splits:
1170
+ dialogues += dialogues_by_split[split]
1171
+ for da_type in ontology['dialogue_acts']:
1172
+ ontology["dialogue_acts"][da_type] = sorted([str(
1173
+ {'user': speakers.get('user', False), 'system': speakers.get('system', False), 'intent': da[0],
1174
+ 'domain': da[1], 'slot': da[2]}) for da, speakers in ontology["dialogue_acts"][da_type].items()])
1175
+ json.dump(dialogues[:10], open(f'dummy_data.json', 'w',
1176
+ encoding='utf-8'), indent=2, ensure_ascii=False)
1177
+ json.dump(ontology, open(f'{new_data_dir}/ontology.json',
1178
+ 'w', encoding='utf-8'), indent=2, ensure_ascii=False)
1179
+ json.dump(dialogues, open(f'{new_data_dir}/dialogues.json',
1180
+ 'w', encoding='utf-8'), indent=2, ensure_ascii=False)
1181
+ with ZipFile('data.zip', 'w', ZIP_DEFLATED) as zf:
1182
+ for filename in os.listdir(new_data_dir):
1183
+ zf.write(f'{new_data_dir}/{filename}')
1184
+ # rmtree(original_data_dir)
1185
+ # rmtree(new_data_dir)
1186
+ return dialogues, ontology
1187
+
1188
+
1189
+ def fix_entity_booked_info(entity_booked_dict, booked):
1190
+ for domain in entity_booked_dict:
1191
+ if not entity_booked_dict[domain] and booked[domain]:
1192
+ entity_booked_dict[domain] = True
1193
+ booked[domain] = []
1194
+ return entity_booked_dict, booked
1195
+
1196
+
1197
+ if __name__ == '__main__':
1198
+ preprocess()