Upload preprocess.py
Browse files- preprocess.py +959 -0
preprocess.py
ADDED
@@ -0,0 +1,959 @@
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1 |
+
import copy
|
2 |
+
import re
|
3 |
+
from zipfile import ZipFile, ZIP_DEFLATED
|
4 |
+
from shutil import copy2, rmtree
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5 |
+
import json
|
6 |
+
import os
|
7 |
+
from tqdm import tqdm
|
8 |
+
from collections import Counter
|
9 |
+
from pprint import pprint
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10 |
+
from nltk.tokenize import TreebankWordTokenizer, PunktSentenceTokenizer
|
11 |
+
from data.unified_datasets.multiwoz21.booking_remapper import BookingActRemapper
|
12 |
+
|
13 |
+
ontology = {
|
14 |
+
"domains": { # descriptions are adapted from multiwoz22, but is_categorical may be different
|
15 |
+
"attraction": {
|
16 |
+
"description": "find an attraction",
|
17 |
+
"slots": {
|
18 |
+
"area": {
|
19 |
+
"description": "area to search for attractions",
|
20 |
+
"is_categorical": True,
|
21 |
+
"possible_values": [
|
22 |
+
"centre",
|
23 |
+
"east",
|
24 |
+
"north",
|
25 |
+
"south",
|
26 |
+
"west"
|
27 |
+
]
|
28 |
+
},
|
29 |
+
"name": {
|
30 |
+
"description": "name of the attraction",
|
31 |
+
"is_categorical": False,
|
32 |
+
"possible_values": []
|
33 |
+
},
|
34 |
+
"type": {
|
35 |
+
"description": "type of the attraction",
|
36 |
+
"is_categorical": True,
|
37 |
+
"possible_values": [
|
38 |
+
"architecture",
|
39 |
+
"boat",
|
40 |
+
"cinema",
|
41 |
+
"college",
|
42 |
+
"concerthall",
|
43 |
+
"entertainment",
|
44 |
+
"museum",
|
45 |
+
"multiple sports",
|
46 |
+
"nightclub",
|
47 |
+
"park",
|
48 |
+
"swimmingpool",
|
49 |
+
"theatre"
|
50 |
+
]
|
51 |
+
},
|
52 |
+
"entrance fee": {
|
53 |
+
"description": "how much is the entrance fee",
|
54 |
+
"is_categorical": False,
|
55 |
+
"possible_values": []
|
56 |
+
},
|
57 |
+
"open hours": {
|
58 |
+
"description": "open hours of the attraction",
|
59 |
+
"is_categorical": False,
|
60 |
+
"possible_values": []
|
61 |
+
},
|
62 |
+
"address": {
|
63 |
+
"description": "address of the attraction",
|
64 |
+
"is_categorical": False,
|
65 |
+
"possible_values": []
|
66 |
+
},
|
67 |
+
"phone": {
|
68 |
+
"description": "phone number of the attraction",
|
69 |
+
"is_categorical": False,
|
70 |
+
"possible_values": []
|
71 |
+
},
|
72 |
+
"postcode": {
|
73 |
+
"description": "postcode of the attraction",
|
74 |
+
"is_categorical": False,
|
75 |
+
"possible_values": []
|
76 |
+
},
|
77 |
+
"choice": {
|
78 |
+
"description": "number of attractions that meet the requirement",
|
79 |
+
"is_categorical": False,
|
80 |
+
"possible_values": []
|
81 |
+
}
|
82 |
+
}
|
83 |
+
},
|
84 |
+
"hotel": {
|
85 |
+
"description": "find and book a hotel",
|
86 |
+
"slots": {
|
87 |
+
"internet": {
|
88 |
+
"description": "whether the hotel has internet",
|
89 |
+
"is_categorical": True,
|
90 |
+
"possible_values": [
|
91 |
+
"free",
|
92 |
+
"no",
|
93 |
+
"yes"
|
94 |
+
]
|
95 |
+
},
|
96 |
+
"parking": {
|
97 |
+
"description": "whether the hotel has parking",
|
98 |
+
"is_categorical": True,
|
99 |
+
"possible_values": [
|
100 |
+
"free",
|
101 |
+
"no",
|
102 |
+
"yes"
|
103 |
+
]
|
104 |
+
},
|
105 |
+
"area": {
|
106 |
+
"description": "area or place of the hotel",
|
107 |
+
"is_categorical": True,
|
108 |
+
"possible_values": [
|
109 |
+
"centre",
|
110 |
+
"east",
|
111 |
+
"north",
|
112 |
+
"south",
|
113 |
+
"west"
|
114 |
+
]
|
115 |
+
},
|
116 |
+
"stars": {
|
117 |
+
"description": "star rating of the hotel",
|
118 |
+
"is_categorical": True,
|
119 |
+
"possible_values": [
|
120 |
+
"0",
|
121 |
+
"1",
|
122 |
+
"2",
|
123 |
+
"3",
|
124 |
+
"4",
|
125 |
+
"5"
|
126 |
+
]
|
127 |
+
},
|
128 |
+
"price range": {
|
129 |
+
"description": "price budget of the hotel",
|
130 |
+
"is_categorical": True,
|
131 |
+
"possible_values": [
|
132 |
+
"expensive",
|
133 |
+
"cheap",
|
134 |
+
"moderate"
|
135 |
+
]
|
136 |
+
},
|
137 |
+
"type": {
|
138 |
+
"description": "what is the type of the hotel",
|
139 |
+
"is_categorical": False,
|
140 |
+
"possible_values": [
|
141 |
+
"guesthouse",
|
142 |
+
"hotel"
|
143 |
+
]
|
144 |
+
},
|
145 |
+
"name": {
|
146 |
+
"description": "name of the hotel",
|
147 |
+
"is_categorical": False,
|
148 |
+
"possible_values": []
|
149 |
+
},
|
150 |
+
"book people": {
|
151 |
+
"description": "number of people for the hotel booking",
|
152 |
+
"is_categorical": False,
|
153 |
+
"possible_values": []
|
154 |
+
},
|
155 |
+
"book stay": {
|
156 |
+
"description": "length of stay at the hotel",
|
157 |
+
"is_categorical": False,
|
158 |
+
"possible_values": []
|
159 |
+
},
|
160 |
+
"book day": {
|
161 |
+
"description": "day of the hotel booking",
|
162 |
+
"is_categorical": True,
|
163 |
+
"possible_values": [
|
164 |
+
"monday",
|
165 |
+
"tuesday",
|
166 |
+
"wednesday",
|
167 |
+
"thursday",
|
168 |
+
"friday",
|
169 |
+
"saturday",
|
170 |
+
"sunday"
|
171 |
+
]
|
172 |
+
},
|
173 |
+
"phone": {
|
174 |
+
"description": "phone number of the hotel",
|
175 |
+
"is_categorical": False,
|
176 |
+
"possible_values": []
|
177 |
+
},
|
178 |
+
"postcode": {
|
179 |
+
"description": "postcode of the hotel",
|
180 |
+
"is_categorical": False,
|
181 |
+
"possible_values": []
|
182 |
+
},
|
183 |
+
"address": {
|
184 |
+
"description": "address of the hotel",
|
185 |
+
"is_categorical": False,
|
186 |
+
"possible_values": []
|
187 |
+
},
|
188 |
+
"ref": {
|
189 |
+
"description": "reference number of the hotel booking",
|
190 |
+
"is_categorical": False,
|
191 |
+
"possible_values": []
|
192 |
+
},
|
193 |
+
"choice": {
|
194 |
+
"description": "number of hotels that meet the requirement",
|
195 |
+
"is_categorical": False,
|
196 |
+
"possible_values": []
|
197 |
+
}
|
198 |
+
}
|
199 |
+
},
|
200 |
+
"taxi": {
|
201 |
+
"description": "rent taxi to travel",
|
202 |
+
"slots": {
|
203 |
+
"destination": {
|
204 |
+
"description": "destination of taxi",
|
205 |
+
"is_categorical": False,
|
206 |
+
"possible_values": []
|
207 |
+
},
|
208 |
+
"departure": {
|
209 |
+
"description": "departure location of taxi",
|
210 |
+
"is_categorical": False,
|
211 |
+
"possible_values": []
|
212 |
+
},
|
213 |
+
"leave at": {
|
214 |
+
"description": "leaving time of taxi",
|
215 |
+
"is_categorical": False,
|
216 |
+
"possible_values": []
|
217 |
+
},
|
218 |
+
"arrive by": {
|
219 |
+
"description": "arrival time of taxi",
|
220 |
+
"is_categorical": False,
|
221 |
+
"possible_values": []
|
222 |
+
},
|
223 |
+
"phone": {
|
224 |
+
"description": "phone number of the taxi",
|
225 |
+
"is_categorical": False,
|
226 |
+
"possible_values": []
|
227 |
+
},
|
228 |
+
"type": {
|
229 |
+
"description": "car type of the taxi",
|
230 |
+
"is_categorical": False,
|
231 |
+
"possible_values": []
|
232 |
+
}
|
233 |
+
}
|
234 |
+
},
|
235 |
+
"restaurant": {
|
236 |
+
"description": "find and book a restaurant",
|
237 |
+
"slots": {
|
238 |
+
"price range": {
|
239 |
+
"description": "price budget for the restaurant",
|
240 |
+
"is_categorical": True,
|
241 |
+
"possible_values": [
|
242 |
+
"cheap",
|
243 |
+
"expensive",
|
244 |
+
"moderate"
|
245 |
+
]
|
246 |
+
},
|
247 |
+
"area": {
|
248 |
+
"description": "area or place of the restaurant",
|
249 |
+
"is_categorical": True,
|
250 |
+
"possible_values": [
|
251 |
+
"centre",
|
252 |
+
"east",
|
253 |
+
"north",
|
254 |
+
"south",
|
255 |
+
"west"
|
256 |
+
]
|
257 |
+
},
|
258 |
+
"food": {
|
259 |
+
"description": "the cuisine of the restaurant",
|
260 |
+
"is_categorical": False,
|
261 |
+
"possible_values": []
|
262 |
+
},
|
263 |
+
"name": {
|
264 |
+
"description": "name of the restaurant",
|
265 |
+
"is_categorical": False,
|
266 |
+
"possible_values": []
|
267 |
+
},
|
268 |
+
"address": {
|
269 |
+
"description": "address of the restaurant",
|
270 |
+
"is_categorical": False,
|
271 |
+
"possible_values": []
|
272 |
+
},
|
273 |
+
"postcode": {
|
274 |
+
"description": "postcode of the restaurant",
|
275 |
+
"is_categorical": False,
|
276 |
+
"possible_values": []
|
277 |
+
},
|
278 |
+
"phone": {
|
279 |
+
"description": "phone number of the restaurant",
|
280 |
+
"is_categorical": False,
|
281 |
+
"possible_values": []
|
282 |
+
},
|
283 |
+
"book people": {
|
284 |
+
"description": "number of people for the restaurant booking",
|
285 |
+
"is_categorical": False,
|
286 |
+
"possible_values": []
|
287 |
+
},
|
288 |
+
"book time": {
|
289 |
+
"description": "time of the restaurant booking",
|
290 |
+
"is_categorical": False,
|
291 |
+
"possible_values": []
|
292 |
+
},
|
293 |
+
"book day": {
|
294 |
+
"description": "day of the restaurant booking",
|
295 |
+
"is_categorical": True,
|
296 |
+
"possible_values": [
|
297 |
+
"monday",
|
298 |
+
"tuesday",
|
299 |
+
"wednesday",
|
300 |
+
"thursday",
|
301 |
+
"friday",
|
302 |
+
"saturday",
|
303 |
+
"sunday"
|
304 |
+
]
|
305 |
+
},
|
306 |
+
"ref": {
|
307 |
+
"description": "reference number of the restaurant booking",
|
308 |
+
"is_categorical": False,
|
309 |
+
"possible_values": []
|
310 |
+
},
|
311 |
+
"choice": {
|
312 |
+
"description": "number of restaurants that meet the requirement",
|
313 |
+
"is_categorical": False,
|
314 |
+
"possible_values": []
|
315 |
+
}
|
316 |
+
}
|
317 |
+
},
|
318 |
+
"train": {
|
319 |
+
"description": "find a train to travel",
|
320 |
+
"slots": {
|
321 |
+
"destination": {
|
322 |
+
"description": "destination of the train",
|
323 |
+
"is_categorical": False,
|
324 |
+
"possible_values": []
|
325 |
+
},
|
326 |
+
"arrive by": {
|
327 |
+
"description": "arrival time of the train",
|
328 |
+
"is_categorical": False,
|
329 |
+
"possible_values": []
|
330 |
+
},
|
331 |
+
"departure": {
|
332 |
+
"description": "departure location of the train",
|
333 |
+
"is_categorical": False,
|
334 |
+
"possible_values": []
|
335 |
+
},
|
336 |
+
"leave at": {
|
337 |
+
"description": "leaving time for the train",
|
338 |
+
"is_categorical": False,
|
339 |
+
"possible_values": []
|
340 |
+
},
|
341 |
+
"duration": {
|
342 |
+
"description": "duration of the travel",
|
343 |
+
"is_categorical": False,
|
344 |
+
"possible_values": []
|
345 |
+
},
|
346 |
+
"book people": {
|
347 |
+
"description": "number of people booking for train",
|
348 |
+
"is_categorical": False,
|
349 |
+
"possible_values": []
|
350 |
+
},
|
351 |
+
"day": {
|
352 |
+
"description": "day of the train",
|
353 |
+
"is_categorical": True,
|
354 |
+
"possible_values": [
|
355 |
+
"monday",
|
356 |
+
"tuesday",
|
357 |
+
"wednesday",
|
358 |
+
"thursday",
|
359 |
+
"friday",
|
360 |
+
"saturday",
|
361 |
+
"sunday"
|
362 |
+
]
|
363 |
+
},
|
364 |
+
"ref": {
|
365 |
+
"description": "reference number of the train booking",
|
366 |
+
"is_categorical": False,
|
367 |
+
"possible_values": []
|
368 |
+
},
|
369 |
+
"price": {
|
370 |
+
"description": "price of the train ticket",
|
371 |
+
"is_categorical": False,
|
372 |
+
"possible_values": []
|
373 |
+
},
|
374 |
+
"train id": {
|
375 |
+
"description": "id of the train",
|
376 |
+
"is_categorical": False
|
377 |
+
},
|
378 |
+
"choice": {
|
379 |
+
"description": "number of trains that meet the requirement",
|
380 |
+
"is_categorical": False,
|
381 |
+
"possible_values": []
|
382 |
+
}
|
383 |
+
}
|
384 |
+
},
|
385 |
+
"police": {
|
386 |
+
"description": "find a police station for help",
|
387 |
+
"slots": {
|
388 |
+
"name": {
|
389 |
+
"description": "name of the police station",
|
390 |
+
"is_categorical": False,
|
391 |
+
"possible_values": []
|
392 |
+
},
|
393 |
+
"address": {
|
394 |
+
"description": "address of the police station",
|
395 |
+
"is_categorical": False,
|
396 |
+
"possible_values": []
|
397 |
+
},
|
398 |
+
"postcode": {
|
399 |
+
"description": "postcode of the police station",
|
400 |
+
"is_categorical": False,
|
401 |
+
"possible_values": []
|
402 |
+
},
|
403 |
+
"phone": {
|
404 |
+
"description": "phone number of the police station",
|
405 |
+
"is_categorical": False,
|
406 |
+
"possible_values": []
|
407 |
+
}
|
408 |
+
}
|
409 |
+
},
|
410 |
+
"hospital": {
|
411 |
+
"description": "find a hospital for help",
|
412 |
+
"slots": {
|
413 |
+
"department": {
|
414 |
+
"description": "specific department of the hospital",
|
415 |
+
"is_categorical": False,
|
416 |
+
"possible_values": []
|
417 |
+
},
|
418 |
+
"address": {
|
419 |
+
"description": "address of the hospital",
|
420 |
+
"is_categorical": False,
|
421 |
+
"possible_values": []
|
422 |
+
},
|
423 |
+
"phone": {
|
424 |
+
"description": "phone number of the hospital",
|
425 |
+
"is_categorical": False,
|
426 |
+
"possible_values": []
|
427 |
+
},
|
428 |
+
"postcode": {
|
429 |
+
"description": "postcode of the hospital",
|
430 |
+
"is_categorical": False,
|
431 |
+
"possible_values": []
|
432 |
+
}
|
433 |
+
}
|
434 |
+
},
|
435 |
+
"general": {
|
436 |
+
"description": "general domain without slots",
|
437 |
+
"slots": {}
|
438 |
+
}
|
439 |
+
},
|
440 |
+
"intents": {
|
441 |
+
"inform": {
|
442 |
+
"description": "inform the value of a slot"
|
443 |
+
},
|
444 |
+
"request": {
|
445 |
+
"description": "ask for the value of a slot"
|
446 |
+
},
|
447 |
+
"nobook": {
|
448 |
+
"description": "inform the user that the booking is failed"
|
449 |
+
},
|
450 |
+
"reqmore": {
|
451 |
+
"description": "ask the user for more instructions"
|
452 |
+
},
|
453 |
+
"book": {
|
454 |
+
"description": "book something for the user"
|
455 |
+
},
|
456 |
+
"bye": {
|
457 |
+
"description": "say goodbye to the user and end the conversation"
|
458 |
+
},
|
459 |
+
"thank": {
|
460 |
+
"description": "thanks for the help"
|
461 |
+
},
|
462 |
+
"welcome": {
|
463 |
+
"description": "you're welcome"
|
464 |
+
},
|
465 |
+
"greet": {
|
466 |
+
"description": "express greeting"
|
467 |
+
},
|
468 |
+
"recommend": {
|
469 |
+
"description": "recommend a choice to the user"
|
470 |
+
},
|
471 |
+
"select": {
|
472 |
+
"description": "provide several choices for the user"
|
473 |
+
},
|
474 |
+
"offerbook": {
|
475 |
+
"description": "ask the user if he or she needs booking"
|
476 |
+
},
|
477 |
+
"offerbooked": {
|
478 |
+
"description": "provide information about the booking"
|
479 |
+
},
|
480 |
+
"nooffer": {
|
481 |
+
"description": "inform the user that there is no result satisfies user requirements"
|
482 |
+
}
|
483 |
+
},
|
484 |
+
"state": {
|
485 |
+
"attraction": {
|
486 |
+
"type": "",
|
487 |
+
"name": "",
|
488 |
+
"area": ""
|
489 |
+
},
|
490 |
+
"hotel": {
|
491 |
+
"name": "",
|
492 |
+
"area": "",
|
493 |
+
"parking": "",
|
494 |
+
"price range": "",
|
495 |
+
"stars": "",
|
496 |
+
"internet": "",
|
497 |
+
"type": "",
|
498 |
+
"book stay": "",
|
499 |
+
"book day": "",
|
500 |
+
"book people": ""
|
501 |
+
},
|
502 |
+
"restaurant": {
|
503 |
+
"food": "",
|
504 |
+
"price range": "",
|
505 |
+
"name": "",
|
506 |
+
"area": "",
|
507 |
+
"book time": "",
|
508 |
+
"book day": "",
|
509 |
+
"book people": ""
|
510 |
+
},
|
511 |
+
"taxi": {
|
512 |
+
"leave at": "",
|
513 |
+
"destination": "",
|
514 |
+
"departure": "",
|
515 |
+
"arrive by": ""
|
516 |
+
},
|
517 |
+
"train": {
|
518 |
+
"leave at": "",
|
519 |
+
"destination": "",
|
520 |
+
"day": "",
|
521 |
+
"arrive by": "",
|
522 |
+
"departure": "",
|
523 |
+
"book people": ""
|
524 |
+
},
|
525 |
+
"hospital": {
|
526 |
+
"department": ""
|
527 |
+
}
|
528 |
+
},
|
529 |
+
"dialogue_acts": {
|
530 |
+
"categorical": {},
|
531 |
+
"non-categorical": {},
|
532 |
+
"binary": {}
|
533 |
+
}
|
534 |
+
}
|
535 |
+
|
536 |
+
slot_name_map = {
|
537 |
+
'addr': "address",
|
538 |
+
'post': "postcode",
|
539 |
+
'pricerange': "price range",
|
540 |
+
'arrive': "arrive by",
|
541 |
+
'arriveby': "arrive by",
|
542 |
+
'leave': "leave at",
|
543 |
+
'leaveat': "leave at",
|
544 |
+
'depart': "departure",
|
545 |
+
'dest': "destination",
|
546 |
+
'fee': "entrance fee",
|
547 |
+
'open': 'open hours',
|
548 |
+
'car': "type",
|
549 |
+
'car type': "type",
|
550 |
+
'ticket': 'price',
|
551 |
+
'trainid': 'train id',
|
552 |
+
'id': 'train id',
|
553 |
+
'people': 'book people',
|
554 |
+
'stay': 'book stay',
|
555 |
+
'none': '',
|
556 |
+
'attraction': {
|
557 |
+
'price': 'entrance fee'
|
558 |
+
},
|
559 |
+
'hospital': {},
|
560 |
+
'hotel': {
|
561 |
+
'day': 'book day', 'price': "price range"
|
562 |
+
},
|
563 |
+
'restaurant': {
|
564 |
+
'day': 'book day', 'time': 'book time', 'price': "price range"
|
565 |
+
},
|
566 |
+
'taxi': {},
|
567 |
+
'train': {
|
568 |
+
'day': 'day', 'time': "duration"
|
569 |
+
},
|
570 |
+
'police': {}
|
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 |
+
def reverse_da(dialogue_acts):
|
605 |
+
global reverse_da_slot_name_map
|
606 |
+
das = {}
|
607 |
+
for da_type in dialogue_acts:
|
608 |
+
for da in dialogue_acts[da_type]:
|
609 |
+
intent, domain, slot, value = da['intent'], da['domain'], da['slot'], da.get('value', '')
|
610 |
+
if domain == 'general':
|
611 |
+
Domain_Intent = '-'.join([domain, intent])
|
612 |
+
elif intent == 'nooffer':
|
613 |
+
Domain_Intent = '-'.join([domain.capitalize(), 'NoOffer'])
|
614 |
+
elif intent == 'nobook':
|
615 |
+
Domain_Intent = '-'.join([domain.capitalize(), 'NoBook'])
|
616 |
+
elif intent == 'offerbook':
|
617 |
+
Domain_Intent = '-'.join([domain.capitalize(), 'OfferBook'])
|
618 |
+
else:
|
619 |
+
Domain_Intent = '-'.join([domain.capitalize(), intent.capitalize()])
|
620 |
+
das.setdefault(Domain_Intent, [])
|
621 |
+
if slot in reverse_da_slot_name_map:
|
622 |
+
Slot = reverse_da_slot_name_map[slot]
|
623 |
+
elif domain in reverse_da_slot_name_map and slot in reverse_da_slot_name_map[domain]:
|
624 |
+
Slot = reverse_da_slot_name_map[domain][slot]
|
625 |
+
else:
|
626 |
+
Slot = slot.capitalize()
|
627 |
+
if value == '':
|
628 |
+
if intent == 'request':
|
629 |
+
value = '?'
|
630 |
+
else:
|
631 |
+
value = 'none'
|
632 |
+
if Slot == '':
|
633 |
+
Slot = 'none'
|
634 |
+
das[Domain_Intent].append([Slot, value])
|
635 |
+
return das
|
636 |
+
|
637 |
+
|
638 |
+
def normalize_domain_slot_value(domain, slot, value):
|
639 |
+
global ontology, slot_name_map
|
640 |
+
domain = domain.lower()
|
641 |
+
slot = slot.lower()
|
642 |
+
value = value.strip()
|
643 |
+
if value in ['do nt care', "do n't care"]:
|
644 |
+
value = 'dontcare'
|
645 |
+
if value in ['?', 'none', 'not mentioned']:
|
646 |
+
value = ""
|
647 |
+
if domain not in ontology['domains']:
|
648 |
+
raise Exception(f'{domain} not in ontology')
|
649 |
+
if slot not in ontology['domains'][domain]['slots']:
|
650 |
+
if slot in slot_name_map:
|
651 |
+
slot = slot_name_map[slot]
|
652 |
+
elif slot in slot_name_map[domain]:
|
653 |
+
slot = slot_name_map[domain][slot]
|
654 |
+
else:
|
655 |
+
raise Exception(f'{domain}-{slot} not in ontology')
|
656 |
+
assert slot == '' or slot in ontology['domains'][domain]['slots'], f'{(domain, slot, value)} not in ontology'
|
657 |
+
return domain, slot, value
|
658 |
+
|
659 |
+
|
660 |
+
def convert_da(da_dict, utt, sent_tokenizer, word_tokenizer):
|
661 |
+
'''
|
662 |
+
convert multiwoz dialogue acts to required format
|
663 |
+
:param da_dict: dict[(intent, domain, slot, value)] = [word_start, word_end]
|
664 |
+
:param utt: user or system utt
|
665 |
+
'''
|
666 |
+
global ontology, digit2word, cnt_domain_slot
|
667 |
+
|
668 |
+
converted_da = {
|
669 |
+
'categorical': [],
|
670 |
+
'non-categorical': [],
|
671 |
+
'binary': []
|
672 |
+
}
|
673 |
+
sentences = sent_tokenizer.tokenize(utt)
|
674 |
+
sent_spans = sent_tokenizer.span_tokenize(utt)
|
675 |
+
tokens = [token for sent in sentences for token in word_tokenizer.tokenize(sent)]
|
676 |
+
token_spans = [(sent_span[0] + token_span[0], sent_span[0] + token_span[1]) for sent, sent_span in
|
677 |
+
zip(sentences, sent_spans) for token_span in word_tokenizer.span_tokenize(sent)]
|
678 |
+
# assert len(tokens) == len(token_spans)
|
679 |
+
# for token, span in zip(tokens, token_spans):
|
680 |
+
# if utt[span[0]:span[1]] != '"':
|
681 |
+
# assert utt[span[0]:span[1]] == token
|
682 |
+
|
683 |
+
for (intent, domain, slot, value), span in da_dict.items():
|
684 |
+
if intent == 'request' or slot == '' or value == '':
|
685 |
+
# binary dialog acts
|
686 |
+
assert value == ''
|
687 |
+
converted_da['binary'].append({
|
688 |
+
'intent': intent,
|
689 |
+
'domain': domain,
|
690 |
+
'slot': slot
|
691 |
+
})
|
692 |
+
elif ontology['domains'][domain]['slots'][slot]['is_categorical']:
|
693 |
+
# categorical dialog acts
|
694 |
+
converted_da['categorical'].append({
|
695 |
+
'intent': intent,
|
696 |
+
'domain': domain,
|
697 |
+
'slot': slot,
|
698 |
+
'value': value
|
699 |
+
})
|
700 |
+
else:
|
701 |
+
# non-categorical dialog acts
|
702 |
+
converted_da['non-categorical'].append({
|
703 |
+
'intent': intent,
|
704 |
+
'domain': domain,
|
705 |
+
'slot': slot,
|
706 |
+
'value': value
|
707 |
+
})
|
708 |
+
# correct some value and try to give char level span
|
709 |
+
match = False
|
710 |
+
value = value.lower()
|
711 |
+
if span and span[0] <= span[1]:
|
712 |
+
# use original span annotation, but tokenizations are different
|
713 |
+
start_word, end_word = span
|
714 |
+
if end_word >= len(tokens):
|
715 |
+
# due to different tokenization, sometimes will out of index
|
716 |
+
delta = end_word - len(tokens) + 1
|
717 |
+
start_word -= delta
|
718 |
+
end_word -= delta
|
719 |
+
start_char, end_char = token_spans[start_word][0], token_spans[end_word][1]
|
720 |
+
value_span = utt[start_char:end_char].lower()
|
721 |
+
match = True
|
722 |
+
if value_span == value:
|
723 |
+
cnt_domain_slot['span match'] += 1
|
724 |
+
elif value.isdigit() and value in digit2word and digit2word[value] == value_span:
|
725 |
+
# !!!CHANGE VALUE: value is digit but value span is word
|
726 |
+
cnt_domain_slot['digit value match'] += 1
|
727 |
+
elif ''.join(value.split()) == ''.join(value_span.split()):
|
728 |
+
# !!!CHANGE VALUE: equal when remove blank
|
729 |
+
cnt_domain_slot['remove blank'] += 1
|
730 |
+
elif value in value_span:
|
731 |
+
# value in value_span
|
732 |
+
start_char += value_span.index(value)
|
733 |
+
end_char = start_char + len(value)
|
734 |
+
assert utt[start_char:end_char].lower() == value, f'{[value, utt[start_char:end_char], utt]}'
|
735 |
+
cnt_domain_slot['value in span'] += 1
|
736 |
+
elif ':' in value and value == '0' + value_span:
|
737 |
+
# !!!CHANGE VALUE: time x:xx == 0x:xx
|
738 |
+
cnt_domain_slot['x:xx == 0x:xx'] += 1
|
739 |
+
else:
|
740 |
+
# span mismatch, search near 1-2 words
|
741 |
+
for window in range(1, 3):
|
742 |
+
start = max(0, start_word - window)
|
743 |
+
end = min(len(token_spans) - 1, end_word + window)
|
744 |
+
large_span = utt[token_spans[start][0]:token_spans[end][1]].lower()
|
745 |
+
if value in large_span:
|
746 |
+
start_char = token_spans[start][0] + large_span.index(value)
|
747 |
+
end_char = start_char + len(value)
|
748 |
+
assert utt[
|
749 |
+
start_char:end_char].lower() == value, f'{[value, utt[start_char:end_char], utt]}'
|
750 |
+
cnt_domain_slot[f'window={window}'] += 1
|
751 |
+
break
|
752 |
+
else:
|
753 |
+
# still not found
|
754 |
+
match = False
|
755 |
+
|
756 |
+
if match:
|
757 |
+
converted_da['non-categorical'][-1]['value'] = utt[start_char:end_char]
|
758 |
+
converted_da['non-categorical'][-1]['start'] = start_char
|
759 |
+
converted_da['non-categorical'][-1]['end'] = end_char
|
760 |
+
cnt_domain_slot['have span'] += 1
|
761 |
+
else:
|
762 |
+
cnt_domain_slot['no span'] += 1
|
763 |
+
return converted_da
|
764 |
+
|
765 |
+
|
766 |
+
def preprocess():
|
767 |
+
original_data_dir = 'MultiWOZ_2.1'
|
768 |
+
new_data_dir = 'data'
|
769 |
+
|
770 |
+
if not os.path.exists(original_data_dir):
|
771 |
+
original_data_zip = 'MultiWOZ_2.1.zip'
|
772 |
+
if not os.path.exists(original_data_zip):
|
773 |
+
raise FileNotFoundError(
|
774 |
+
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')
|
775 |
+
else:
|
776 |
+
archive = ZipFile(original_data_zip)
|
777 |
+
archive.extractall()
|
778 |
+
|
779 |
+
os.makedirs(new_data_dir, exist_ok=True)
|
780 |
+
for filename in os.listdir(original_data_dir):
|
781 |
+
if 'db' in filename:
|
782 |
+
copy2(f'{original_data_dir}/{filename}', new_data_dir)
|
783 |
+
|
784 |
+
original_data = json.load(open(f'{original_data_dir}/data.json'))
|
785 |
+
global ontology, cnt_domain_slot
|
786 |
+
|
787 |
+
val_list = set(open(f'{original_data_dir}/valListFile.txt').read().split())
|
788 |
+
test_list = set(open(f'{original_data_dir}/testListFile.txt').read().split())
|
789 |
+
dataset = 'multiwoz21'
|
790 |
+
splits = ['train', 'validation', 'test']
|
791 |
+
dialogues_by_split = {split: [] for split in splits}
|
792 |
+
sent_tokenizer = PunktSentenceTokenizer()
|
793 |
+
word_tokenizer = TreebankWordTokenizer()
|
794 |
+
booking_remapper = BookingActRemapper(ontology)
|
795 |
+
for ori_dialog_id, ori_dialog in tqdm(original_data.items()):
|
796 |
+
if ori_dialog_id in val_list:
|
797 |
+
split = 'validation'
|
798 |
+
elif ori_dialog_id in test_list:
|
799 |
+
split = 'test'
|
800 |
+
else:
|
801 |
+
split = 'train'
|
802 |
+
dialogue_id = f'{dataset}-{split}-{len(dialogues_by_split[split])}'
|
803 |
+
|
804 |
+
# get user goal and involved domains
|
805 |
+
cur_domains = []
|
806 |
+
goal = {
|
807 |
+
'description': '. '.join(ori_dialog['goal']['message']),
|
808 |
+
'inform': {},
|
809 |
+
'request': {}
|
810 |
+
}
|
811 |
+
for k, v in ori_dialog['goal'].items():
|
812 |
+
if len(v) != 0 and k in ontology['domains']:
|
813 |
+
cur_domains.append(k)
|
814 |
+
goal['inform'][k] = {}
|
815 |
+
goal['request'][k] = {}
|
816 |
+
for attr in ['fail_info', 'info', 'fail_book', 'book']:
|
817 |
+
if attr in v:
|
818 |
+
for slot, value in v[attr].items():
|
819 |
+
if 'invalid' in slot:
|
820 |
+
continue
|
821 |
+
domain, slot, value = normalize_domain_slot_value(k, slot, value)
|
822 |
+
if slot in goal['inform'][domain]:
|
823 |
+
goal['inform'][domain][slot] += '|' + value
|
824 |
+
else:
|
825 |
+
goal['inform'][domain][slot] = value
|
826 |
+
if 'reqt' in v:
|
827 |
+
for slot in v['reqt']:
|
828 |
+
domain, slot, _ = normalize_domain_slot_value(k, slot, '')
|
829 |
+
goal['request'][domain][slot] = ''
|
830 |
+
|
831 |
+
dialogue = {
|
832 |
+
'dataset': dataset,
|
833 |
+
'data_split': split,
|
834 |
+
'dialogue_id': dialogue_id,
|
835 |
+
'original_id': ori_dialog_id,
|
836 |
+
'domains': cur_domains, # will be updated by dialog_acts and state
|
837 |
+
'goal': goal,
|
838 |
+
'turns': []
|
839 |
+
}
|
840 |
+
|
841 |
+
booking_remapper.reset()
|
842 |
+
belief_domains = ['attraction', 'restaurant', 'train', 'hotel', 'taxi', 'hospital']
|
843 |
+
entity_booked_dict = dict((domain, False) for domain in belief_domains)
|
844 |
+
for turn_id, turn in enumerate(ori_dialog['log']):
|
845 |
+
# correct some grammar errors in the text, mainly following `tokenization.md` in MultiWOZ_2.1
|
846 |
+
text = turn['text']
|
847 |
+
text = re.sub(" Im ", " I'm ", text)
|
848 |
+
text = re.sub(" im ", " i'm ", text)
|
849 |
+
text = re.sub(r"^Im ", "I'm ", text)
|
850 |
+
text = re.sub(r"^im ", "i'm ", text)
|
851 |
+
text = re.sub("theres", "there's", text)
|
852 |
+
text = re.sub("dont", "don't", text)
|
853 |
+
text = re.sub("whats", "what's", text)
|
854 |
+
text = re.sub('thats', "that's", text)
|
855 |
+
utt = text
|
856 |
+
speaker = 'user' if turn_id % 2 == 0 else 'system'
|
857 |
+
|
858 |
+
das = turn.get('dialog_act', [])
|
859 |
+
spans = turn.get('span_info', [])
|
860 |
+
|
861 |
+
if speaker == 'system':
|
862 |
+
das, spans = booking_remapper.remap(turn_id, ori_dialog['log'])
|
863 |
+
|
864 |
+
da_dict = {}
|
865 |
+
# transform DA
|
866 |
+
for Domain_Intent in das:
|
867 |
+
domain, intent = Domain_Intent.lower().split('-')
|
868 |
+
assert intent in ontology['intents'], f'{ori_dialog_id}:{turn_id}:da\t{intent} not in ontology'
|
869 |
+
for Slot, value in das[Domain_Intent]:
|
870 |
+
domain, slot, value = normalize_domain_slot_value(domain, Slot, value)
|
871 |
+
if domain not in cur_domains:
|
872 |
+
# update original cur_domains
|
873 |
+
cur_domains.append(domain)
|
874 |
+
da_dict[(intent, domain, slot, value,)] = []
|
875 |
+
|
876 |
+
for span in spans:
|
877 |
+
Domain_Intent, Slot, value, start_word, end_word = span
|
878 |
+
domain, intent = Domain_Intent.lower().split('-')
|
879 |
+
domain, slot, value = normalize_domain_slot_value(domain, Slot, value)
|
880 |
+
assert (intent, domain, slot, value,) in da_dict
|
881 |
+
da_dict[(intent, domain, slot, value,)] = [start_word, end_word]
|
882 |
+
|
883 |
+
dialogue_acts = convert_da(da_dict, utt, sent_tokenizer, word_tokenizer)
|
884 |
+
|
885 |
+
# reverse_das = reverse_da(dialogue_acts)
|
886 |
+
# das_list = sorted([(Domain_Intent, Slot, ''.join(value.split()).lower()) for Domain_Intent in das for Slot, value in das[Domain_Intent]])
|
887 |
+
# 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]])
|
888 |
+
# if das_list != reverse_das_list:
|
889 |
+
# print(das_list)
|
890 |
+
# print(reverse_das_list)
|
891 |
+
# print()
|
892 |
+
# print()
|
893 |
+
|
894 |
+
dialogue['turns'].append({
|
895 |
+
'speaker': speaker,
|
896 |
+
'utterance': utt,
|
897 |
+
'utt_idx': turn_id,
|
898 |
+
'dialogue_acts': dialogue_acts,
|
899 |
+
})
|
900 |
+
|
901 |
+
# add to dialogue_acts dictionary in the ontology
|
902 |
+
for da_type in dialogue_acts:
|
903 |
+
das = dialogue_acts[da_type]
|
904 |
+
for da in das:
|
905 |
+
ontology["dialogue_acts"][da_type].setdefault((da['intent'], da['domain'], da['slot']), {})
|
906 |
+
ontology["dialogue_acts"][da_type][(da['intent'], da['domain'], da['slot'])][speaker] = True
|
907 |
+
|
908 |
+
if speaker == 'system':
|
909 |
+
# add state to last user turn
|
910 |
+
# add empty db_results
|
911 |
+
turn_state = turn['metadata']
|
912 |
+
cur_state = copy.deepcopy(ontology['state'])
|
913 |
+
booked = {}
|
914 |
+
for domain in turn_state:
|
915 |
+
if domain not in cur_state:
|
916 |
+
continue
|
917 |
+
for subdomain in ['semi', 'book']:
|
918 |
+
for slot, value in turn_state[domain][subdomain].items():
|
919 |
+
if slot == 'ticket':
|
920 |
+
continue
|
921 |
+
elif slot == 'booked':
|
922 |
+
assert domain in ontology['domains']
|
923 |
+
booked[domain] = value
|
924 |
+
continue
|
925 |
+
_, slot, value = normalize_domain_slot_value(domain, slot, value)
|
926 |
+
cur_state[domain][slot] = value
|
927 |
+
dialogue['turns'][-2]['state'] = cur_state
|
928 |
+
entity_booked_dict, booked = fix_entity_booked_info(entity_booked_dict, booked)
|
929 |
+
dialogue['turns'][-1]['booked'] = booked
|
930 |
+
dialogues_by_split[split].append(dialogue)
|
931 |
+
# pprint(cnt_domain_slot.most_common())
|
932 |
+
dialogues = []
|
933 |
+
for split in splits:
|
934 |
+
dialogues += dialogues_by_split[split]
|
935 |
+
for da_type in ontology['dialogue_acts']:
|
936 |
+
ontology["dialogue_acts"][da_type] = sorted([str(
|
937 |
+
{'user': speakers.get('user', False), 'system': speakers.get('system', False), 'intent': da[0],
|
938 |
+
'domain': da[1], 'slot': da[2]}) for da, speakers in ontology["dialogue_acts"][da_type].items()])
|
939 |
+
json.dump(dialogues[:10], open(f'dummy_data.json', 'w', encoding='utf-8'), indent=2, ensure_ascii=False)
|
940 |
+
json.dump(ontology, open(f'{new_data_dir}/ontology.json', 'w', encoding='utf-8'), indent=2, ensure_ascii=False)
|
941 |
+
json.dump(dialogues, open(f'{new_data_dir}/dialogues.json', 'w', encoding='utf-8'), indent=2, ensure_ascii=False)
|
942 |
+
with ZipFile('data.zip', 'w', ZIP_DEFLATED) as zf:
|
943 |
+
for filename in os.listdir(new_data_dir):
|
944 |
+
zf.write(f'{new_data_dir}/{filename}')
|
945 |
+
rmtree(original_data_dir)
|
946 |
+
rmtree(new_data_dir)
|
947 |
+
return dialogues, ontology
|
948 |
+
|
949 |
+
|
950 |
+
def fix_entity_booked_info(entity_booked_dict, booked):
|
951 |
+
for domain in entity_booked_dict:
|
952 |
+
if not entity_booked_dict[domain] and booked[domain]:
|
953 |
+
entity_booked_dict[domain] = True
|
954 |
+
booked[domain] = []
|
955 |
+
return entity_booked_dict, booked
|
956 |
+
|
957 |
+
|
958 |
+
if __name__ == '__main__':
|
959 |
+
preprocess()
|