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1
+ #!/usr/bin/env python3
2
+ """
3
+ Find recent YouTube video URLs with yt-dlp, no API key required.
4
+
5
+ Requirements:
6
+ pip install -U yt-dlp
7
+
8
+ Usage:
9
+ python find_recent_youtube_urls.py
10
+
11
+ What it does:
12
+ - Searches YouTube using yt-dlp's ytsearchN:QUERY syntax
13
+ - Applies your query patterns (after:2025-04-01, minus repost terms, etc.)
14
+ - Collects video URL, title, uploader, upload date, duration, view count
15
+ - Writes results to:
16
+ - videos.csv
17
+ - videos.json
18
+ """
19
+
20
+ from __future__ import annotations
21
+
22
+ import csv
23
+ import json
24
+ import re
25
+ import sys
26
+ from dataclasses import dataclass, asdict
27
+ from datetime import datetime, date
28
+ from pathlib import Path
29
+ from typing import Iterable, List, Dict, Any, Optional, Set
30
+
31
+ import yt_dlp
32
+
33
+
34
+ # ---------------------------
35
+ # Configuration
36
+ # ---------------------------
37
+
38
+ CUTOFF_DATE = date(2025, 3, 31)
39
+ AFTER_TOKEN = "after:2025-04-01"
40
+
41
+ MAX_DURATION_SECONDS = 180
42
+
43
+ # How many results to ask YouTube for per query
44
+ MAX_RESULTS_PER_QUERY = 30
45
+
46
+ # Output files
47
+ CSV_OUTPUT = Path("videos.csv")
48
+ JSON_OUTPUT = Path("videos.json")
49
+
50
+ # Set to True to print every result as it is found
51
+ VERBOSE = True
52
+
53
+ # Add your real search targets here.
54
+ # These are the concrete things you care about.
55
+ TARGETS: Dict[str, List[str]] = {
56
+ "person_name": [
57
+ "Taylor Swift",
58
+ "Ellie Goulding",
59
+ "Dua Lipa",
60
+ "Adele",
61
+ "Beyoncé",
62
+ "Billie Eilish",
63
+ "Drake",
64
+ "Bad Bunny",
65
+ "Elon Musk",
66
+ "Sam Altman",
67
+ "Jensen Huang",
68
+ "Sundar Pichai",
69
+ "Tim Cook",
70
+ "Mark Zuckerberg",
71
+ "Keir Starmer",
72
+ "Donald Trump",
73
+ "Joe Biden",
74
+ "Emmanuel Macron",
75
+ "Volodymyr Zelenskyy",
76
+ "Cristiano Ronaldo",
77
+ "Lionel Messi",
78
+ "Kylian Mbappé",
79
+ "Erling Haaland",
80
+ "Novak Djokovic",
81
+ "Lewis Hamilton",
82
+ ],
83
+ "event_name": [
84
+ "WWDC 2025",
85
+ "Google I O 2025",
86
+ "CES 2025",
87
+ "Paris Fashion Week",
88
+ "Milan Fashion Week",
89
+ "London Marathon 2025",
90
+ "New York Marathon 2025",
91
+ "Champions League",
92
+ "Premier League",
93
+ "FA Cup",
94
+ "Super Bowl",
95
+ "NBA Finals",
96
+ "Oscars 2025",
97
+ "Grammy Awards 2025",
98
+ "Cannes Film Festival 2025",
99
+ "SXSW 2025",
100
+ "COP30",
101
+ "UN General Assembly",
102
+ "G20 Summit",
103
+ "NATO Summit",
104
+ "Comic Con 2025",
105
+ "Gamescom 2025",
106
+ "Tokyo Game Show 2025",
107
+ "E3 2025",
108
+ "Summer Olympics 2025",
109
+ ],
110
+ "company_name": [
111
+ "OpenAI",
112
+ "Tesla",
113
+ "NVIDIA",
114
+ "Apple",
115
+ "Google",
116
+ "Alphabet",
117
+ "Microsoft",
118
+ "Meta",
119
+ "Amazon",
120
+ "SpaceX",
121
+ "xAI",
122
+ "Anthropic",
123
+ "Adobe",
124
+ "Intel",
125
+ "AMD",
126
+ "Samsung",
127
+ "Sony",
128
+ "Disney",
129
+ "Netflix",
130
+ "TikTok",
131
+ "ByteDance",
132
+ "Uber",
133
+ "Airbnb",
134
+ "Nike",
135
+ "Adidas",
136
+ ],
137
+ "product_model": [
138
+ "iPhone 17",
139
+ "iPhone 16 Pro",
140
+ "Samsung Galaxy S25",
141
+ "Google Pixel 10",
142
+ "Tesla Model Y",
143
+ "Tesla Model 3",
144
+ "Tesla Cybertruck",
145
+ "Canon R5 Mark II",
146
+ "Sony A7S III",
147
+ "Sony A7 IV",
148
+ "DJI Osmo Pocket 3",
149
+ "DJI Mini 4 Pro",
150
+ "MacBook Pro M4",
151
+ "iPad Pro M4",
152
+ "Vision Pro",
153
+ "PlayStation 5 Pro",
154
+ "Nintendo Switch 2",
155
+ "Xbox Series X",
156
+ "Steam Deck OLED",
157
+ "ROG Ally X",
158
+ "GoPro Hero 13",
159
+ "Insta360 X4",
160
+ "Meta Quest 3",
161
+ "Apple Watch Series 10",
162
+ "AirPods Pro 3",
163
+ ],
164
+ "city_incident": [
165
+ "London protest",
166
+ "London fire",
167
+ "London flood",
168
+ "Tokyo fire",
169
+ "Tokyo protest",
170
+ "Tokyo earthquake",
171
+ "Taipei earthquake",
172
+ "Taipei flood",
173
+ "Paris protest",
174
+ "Paris fire",
175
+ "New York protest",
176
+ "New York flood",
177
+ "Los Angeles wildfire",
178
+ "Los Angeles protest",
179
+ "San Francisco fire",
180
+ "Berlin protest",
181
+ "Berlin train disruption",
182
+ "Rome flood",
183
+ "Madrid blackout",
184
+ "Valencia flooding",
185
+ "Istanbul earthquake",
186
+ "Jakarta flooding",
187
+ "Bangkok fire",
188
+ "Seoul protest",
189
+ "Sydney bushfire",
190
+ ],
191
+ "venue_date": [
192
+ "Wembley April 2025",
193
+ "Wembley May 2025",
194
+ "Madison Square Garden April 2025",
195
+ "Madison Square Garden May 2025",
196
+ "Olympia London May 2025",
197
+ "O2 Arena April 2025",
198
+ "O2 Arena May 2025",
199
+ "Royal Albert Hall April 2025",
200
+ "Royal Albert Hall May 2025",
201
+ "Staples Center April 2025",
202
+ "Crypto com Arena May 2025",
203
+ "Tokyo Dome April 2025",
204
+ "Tokyo Dome May 2025",
205
+ "Accor Arena Paris April 2025",
206
+ "Accor Arena Paris May 2025",
207
+ "Camp Nou April 2025",
208
+ "Old Trafford April 2025",
209
+ "Anfield May 2025",
210
+ "Etihad Stadium April 2025",
211
+ "Emirates Stadium May 2025",
212
+ ],
213
+ "topic_location": [
214
+ "street interview Tokyo",
215
+ "street interview Seoul",
216
+ "street interview London",
217
+ "street interview New York",
218
+ "fashion show Milan",
219
+ "fashion show Paris",
220
+ "flooding Valencia",
221
+ "flooding Jakarta",
222
+ "night walk Tokyo",
223
+ "night walk Seoul",
224
+ "walking tour London",
225
+ "walking tour Paris",
226
+ "food market Bangkok",
227
+ "food market Osaka",
228
+ "festival Barcelona",
229
+ "festival Rio de Janeiro",
230
+ "concert London",
231
+ "concert Los Angeles",
232
+ "startup event San Francisco",
233
+ "auto show Munich",
234
+ "tech expo Las Vegas",
235
+ "beach vlog Bali",
236
+ "campus tour Oxford",
237
+ "campus tour Harvard",
238
+ "protest Berlin",
239
+ ],
240
+ "topic_2025": [
241
+ "AI conference 2025",
242
+ "robotics expo 2025",
243
+ "developer conference 2025",
244
+ "startup summit 2025",
245
+ "Olympics 2025",
246
+ "electric vehicle expo 2025",
247
+ "climate summit 2025",
248
+ "music festival 2025",
249
+ "film festival 2025",
250
+ "gaming convention 2025",
251
+ "fashion week 2025",
252
+ "marathon 2025",
253
+ "boxing press conference 2025",
254
+ "football training 2025",
255
+ "space launch 2025",
256
+ "product keynote 2025",
257
+ "CES 2025",
258
+ "MWC 2025",
259
+ "computex 2025",
260
+ "black friday 2025",
261
+ ],
262
+ "wildlife": [
263
+ "wildlife",
264
+ "animal rescue",
265
+ "birdwatching",
266
+ "nature documentary",
267
+ "wildlife safari",
268
+ "lion footage",
269
+ "tiger footage",
270
+ "elephant footage",
271
+ "whale footage",
272
+ "dolphin footage",
273
+ "shark footage",
274
+ "eagle footage",
275
+ "owl footage",
276
+ "bear footage",
277
+ "wolf footage",
278
+ "fox footage",
279
+ "deer footage",
280
+ "monkey footage",
281
+ "gorilla footage",
282
+ "penguin footage",
283
+ "jungle wildlife",
284
+ "savannah wildlife",
285
+ "ocean wildlife",
286
+ "rare animal sighting",
287
+ "national park wildlife",
288
+ ],
289
+ "football": [
290
+ "football",
291
+ "football press conference",
292
+ "football training",
293
+ "football warm up",
294
+ "football tunnel cam",
295
+ "football matchday vlog",
296
+ "football fan footage",
297
+ "football team arrival",
298
+ "football post match interview",
299
+ "football pre match interview",
300
+ "Premier League",
301
+ "Champions League",
302
+ "La Liga",
303
+ "Serie A",
304
+ "Bundesliga",
305
+ "Ligue 1",
306
+ "FA Cup",
307
+ "England training",
308
+ "Real Madrid training",
309
+ "Barcelona training",
310
+ "Manchester City training",
311
+ "Arsenal press conference",
312
+ "Liverpool tunnel cam",
313
+ "Chelsea fan footage",
314
+ "Manchester United warm up",
315
+ ],
316
+ "protests": [
317
+ "protest",
318
+ "demonstration",
319
+ "march",
320
+ "rally",
321
+ "student protest",
322
+ "workers protest",
323
+ "climate protest",
324
+ "anti government protest",
325
+ "pro democracy protest",
326
+ "labor strike march",
327
+ "campus protest",
328
+ "street protest",
329
+ "city center protest",
330
+ "parliament protest",
331
+ "police protest response",
332
+ "crowd protest footage",
333
+ "protest live",
334
+ "protest on scene",
335
+ "protest eyewitness",
336
+ "mass rally",
337
+ ],
338
+ "product_reviews": [
339
+ "product review",
340
+ "hands on review",
341
+ "first look review",
342
+ "camera review",
343
+ "phone review",
344
+ "laptop review",
345
+ "headphones review",
346
+ "microphone review",
347
+ "tablet review",
348
+ "monitor review",
349
+ "drone review",
350
+ "smartwatch review",
351
+ "electric car review",
352
+ "gaming handheld review",
353
+ "keyboard review",
354
+ "mouse review",
355
+ "speaker review",
356
+ "VR headset review",
357
+ "action camera review",
358
+ "robot vacuum review",
359
+ "best new gadget review",
360
+ "tech unboxing",
361
+ "tech first look",
362
+ "comparison review",
363
+ "long term review",
364
+ ],
365
+ "travel_vlogs": [
366
+ "travel vlog",
367
+ "walking tour",
368
+ "day in",
369
+ "city vlog",
370
+ "solo travel vlog",
371
+ "budget travel vlog",
372
+ "luxury travel vlog",
373
+ "food vlog travel",
374
+ "weekend in",
375
+ "24 hours in",
376
+ "hidden gems",
377
+ "street food vlog",
378
+ "nightlife vlog",
379
+ "beach vlog",
380
+ "island vlog",
381
+ "mountain vlog",
382
+ "train journey vlog",
383
+ "airport vlog",
384
+ "hotel review vlog",
385
+ "travel guide vlog",
386
+ "Tokyo travel vlog",
387
+ "Paris travel vlog",
388
+ "London travel vlog",
389
+ "Bali travel vlog",
390
+ "Seoul travel vlog",
391
+ ],
392
+ }
393
+
394
+
395
+ # Query templates by category.
396
+ # {term} gets replaced with each item from TARGETS[category]
397
+ QUERY_TEMPLATES: Dict[str, List[str]] = {
398
+ "person_name": [
399
+ '{term} {after} -reupload -repost -mirror -archive',
400
+ '{term} {after} "official" -clip -compilation',
401
+ '{term} {after} "live" OR "full video" -reaction -analysis',
402
+ '{term} {after} interview -shorts -fanedit',
403
+ '{term} {after} speech OR appearance -repost -mirror',
404
+ '{term} {after} "raw footage" -commentary',
405
+ ],
406
+ "event_name": [
407
+ '{term} {after} -reupload -repost -mirror -archive',
408
+ '{term} {after} "official" -highlights -compilation',
409
+ '{term} {after} "full video" -clip -reaction',
410
+ '{term} {after} "live" OR livestream -recap -analysis',
411
+ '{term} {after} "raw footage" -news -commentary',
412
+ '{term} {after} before:2025-05-01 -reupload -mirror',
413
+ ],
414
+ "company_name": [
415
+ '{term} {after} "official" -reupload -mirror',
416
+ '{term} {after} keynote OR event -clip -compilation',
417
+ '{term} {after} presentation OR demo -reaction -analysis',
418
+ '{term} {after} "full video" -shorts -fanedit',
419
+ '{term} {after} factory OR office tour -repost',
420
+ '{term} {after} interview -commentary -recap',
421
+ ],
422
+ "product_model": [
423
+ '{term} {after} "official" -reupload -mirror',
424
+ '{term} {after} hands on -clip -compilation',
425
+ '{term} {after} unboxing -shorts -fanedit',
426
+ '{term} {after} demo OR first look -reaction -analysis',
427
+ '{term} {after} review -repost -mirror',
428
+ '{term} {after} "full video" -clip -highlights',
429
+ ],
430
+ "city_incident": [
431
+ '{term} {after} "raw footage" -analysis -recap',
432
+ '{term} {after} "on scene" -reaction -commentary',
433
+ '{term} {after} eyewitness -clip -compilation',
434
+ '{term} {after} "full video" -news -analysis',
435
+ '{term} {after} "live" -mirror -repost',
436
+ '{term} {after} -archive -highlights -fanedit',
437
+ ],
438
+ "venue_date": [
439
+ '{term} {after} "full video" -clip -compilation',
440
+ '{term} {after} "live" OR livestream -reaction',
441
+ '{term} {after} "official" -reupload -mirror',
442
+ '{term} {after} performance OR speech -shorts -fanedit',
443
+ '{term} {after} "raw footage" -analysis',
444
+ ],
445
+ "topic_location": [
446
+ '{term} {after} -reupload -repost -mirror',
447
+ '{term} {after} "raw footage" -analysis -commentary',
448
+ '{term} {after} "official" -clip -compilation',
449
+ '{term} {after} "live" OR "on scene" -reaction',
450
+ '{term} {after} "full video" -shorts -fanedit',
451
+ ],
452
+ "topic_2025": [
453
+ '{term} {after} -reupload -repost -mirror',
454
+ '{term} {after} "official" -clip -compilation',
455
+ '{term} {after} "full video" -reaction -analysis',
456
+ '{term} {after} "raw footage" -archive',
457
+ '{term} {after} -shorts -fanedit',
458
+ ],
459
+ "wildlife": [
460
+ '{term} {after} "raw footage" -shorts -compilation',
461
+ '{term} {after} "filmed" OR "recorded" -reaction -analysis',
462
+ '{term} {after} "full video" -clip -highlights',
463
+ ],
464
+ "football": [
465
+ '{term} {after} "official" -compilation -highlights',
466
+ '{term} {after} "full match" -clip -reaction',
467
+ '{term} {after} training OR press conference -analysis -recap',
468
+ '{term} {after} "live" -mirror -repost',
469
+ '{term} {after} behind the scenes -shorts -fanedit',
470
+ ],
471
+ "protests": [
472
+ '{term} {after} "raw footage" -analysis -recap',
473
+ '{term} {after} "on scene" -reaction -commentary',
474
+ '{term} {after} eyewitness -clip -compilation',
475
+ '{term} {after} "full video" -news -analysis',
476
+ '{term} {after} "live" -mirror -repost',
477
+ ],
478
+ "product_reviews": [
479
+ '{term} {after} hands on -clip -compilation',
480
+ '{term} {after} unboxing -shorts -fanedit',
481
+ '{term} {after} demo OR first look -reaction -analysis',
482
+ '{term} {after} "full video" -highlights',
483
+ '{term} {after} "official" -reupload -mirror',
484
+ ],
485
+ "travel_vlogs": [
486
+ '{term} {after} -reupload -mirror -archive',
487
+ '{term} {after} "filmed" OR "recorded" -compilation',
488
+ '{term} {after} "full video" -shorts -fanedit',
489
+ '{term} {after} -reaction -analysis',
490
+ '{term} {after} "walking tour" OR "day in" -clip -highlights',
491
+ ],
492
+ }
493
+
494
+
495
+ # ---------------------------
496
+ # Data model
497
+ # ---------------------------
498
+
499
+ @dataclass
500
+ class VideoResult:
501
+ category: str
502
+ source_term: str
503
+ query: str
504
+ title: str
505
+ url: str
506
+ uploader: Optional[str]
507
+ channel_id: Optional[str]
508
+ upload_date: Optional[str] # YYYY-MM-DD
509
+ duration: Optional[int]
510
+ view_count: Optional[int]
511
+ original_url: Optional[str]
512
+ id: Optional[str]
513
+
514
+
515
+ # ---------------------------
516
+ # Helpers
517
+ # ---------------------------
518
+
519
+ def yyyymmdd_to_iso(s: Optional[str]) -> Optional[str]:
520
+ if not s:
521
+ return None
522
+ if re.fullmatch(r"\d{8}", s):
523
+ return f"{s[0:4]}-{s[4:6]}-{s[6:8]}"
524
+ return s
525
+
526
+
527
+ def parse_upload_date(s: Optional[str]) -> Optional[date]:
528
+ if not s:
529
+ return None
530
+ try:
531
+ if re.fullmatch(r"\d{8}", s):
532
+ return datetime.strptime(s, "%Y%m%d").date()
533
+ return datetime.strptime(s, "%Y-%m-%d").date()
534
+ except ValueError:
535
+ return None
536
+
537
+
538
+ def looks_like_video_url(url: Optional[str]) -> bool:
539
+ if not url:
540
+ return False
541
+ return "youtube.com/watch" in url or "youtu.be/" in url
542
+
543
+
544
+ def build_queries() -> List[Dict[str, str]]:
545
+ items: List[Dict[str, str]] = []
546
+ for category, terms in TARGETS.items():
547
+ templates = QUERY_TEMPLATES.get(category, [])
548
+ for term in terms:
549
+ for template in templates:
550
+ query = template.format(term=term, after=AFTER_TOKEN)
551
+ items.append({
552
+ "category": category,
553
+ "term": term,
554
+ "query": query,
555
+ })
556
+ return items
557
+
558
+
559
+ def search_youtube(query: str, max_results: int) -> Dict[str, Any]:
560
+ search_url = f"ytsearch{max_results}:{query}"
561
+
562
+ ydl_opts = {
563
+ "quiet": True,
564
+ "no_warnings": True,
565
+ "skip_download": True,
566
+ # Full extraction is slower than flat mode,
567
+ # but gives better metadata like upload_date/webpage_url.
568
+ "extract_flat": False,
569
+ "ignoreerrors": True,
570
+ "noplaylist": False,
571
+ }
572
+
573
+ with yt_dlp.YoutubeDL(ydl_opts) as ydl:
574
+ return ydl.extract_info(search_url, download=False)
575
+
576
+
577
+ def normalize_entry(
578
+ category: str,
579
+ source_term: str,
580
+ query: str,
581
+ entry: Dict[str, Any],
582
+ ) -> Optional[VideoResult]:
583
+ if not entry:
584
+ return None
585
+
586
+ url = (
587
+ entry.get("webpage_url")
588
+ or entry.get("original_url")
589
+ or entry.get("url")
590
+ )
591
+
592
+ if url and url.startswith("/watch"):
593
+ url = f"https://www.youtube.com{url}"
594
+
595
+ if not looks_like_video_url(url):
596
+ return None
597
+
598
+ upload_date_raw = entry.get("upload_date")
599
+ upload_date_iso = yyyymmdd_to_iso(upload_date_raw)
600
+
601
+ return VideoResult(
602
+ category=category,
603
+ source_term=source_term,
604
+ query=query,
605
+ title=entry.get("title") or "",
606
+ url=url,
607
+ uploader=entry.get("uploader"),
608
+ channel_id=entry.get("channel_id"),
609
+ upload_date=upload_date_iso,
610
+ duration=entry.get("duration"),
611
+ view_count=entry.get("view_count"),
612
+ original_url=entry.get("original_url"),
613
+ id=entry.get("id"),
614
+ )
615
+
616
+
617
+ def is_after_cutoff(video: VideoResult, cutoff: date) -> bool:
618
+ d = parse_upload_date(video.upload_date)
619
+ if d is None:
620
+ return False
621
+ return d > cutoff
622
+
623
+
624
+ def is_under_3_minutes(video: VideoResult) -> bool:
625
+ if video.duration is None:
626
+ return False
627
+ return video.duration < MAX_DURATION_SECONDS
628
+
629
+
630
+ def save_csv(rows: List[VideoResult], path: Path) -> None:
631
+ fieldnames = [
632
+ "category",
633
+ "source_term",
634
+ "query",
635
+ "title",
636
+ "url",
637
+ "uploader",
638
+ "channel_id",
639
+ "upload_date",
640
+ "duration",
641
+ "view_count",
642
+ "original_url",
643
+ "id",
644
+ ]
645
+ with path.open("w", newline="", encoding="utf-8") as f:
646
+ writer = csv.DictWriter(f, fieldnames=fieldnames)
647
+ writer.writeheader()
648
+ for row in rows:
649
+ writer.writerow(asdict(row))
650
+
651
+
652
+ def save_json(rows: List[VideoResult], path: Path) -> None:
653
+ with path.open("w", encoding="utf-8") as f:
654
+ json.dump([asdict(r) for r in rows], f, ensure_ascii=False, indent=2)
655
+
656
+
657
+ # ---------------------------
658
+ # Main
659
+ # ---------------------------
660
+
661
+ def main() -> int:
662
+ queries = build_queries()
663
+ all_results: List[VideoResult] = []
664
+ seen_urls: Set[str] = set()
665
+
666
+ print(f"Built {len(queries)} queries.")
667
+ print(f"Searching YouTube with yt-dlp for videos uploaded after {CUTOFF_DATE.isoformat()}...\n")
668
+
669
+ for i, item in enumerate(queries, start=1):
670
+ category = item["category"]
671
+ term = item["term"]
672
+ query = item["query"]
673
+
674
+ print(f"[{i}/{len(queries)}] {category} | {term}")
675
+ if VERBOSE:
676
+ print(f" Query: {query}")
677
+
678
+ try:
679
+ result = search_youtube(query, MAX_RESULTS_PER_QUERY)
680
+ except Exception as e:
681
+ print(f" ERROR: {e}", file=sys.stderr)
682
+ continue
683
+
684
+ entries = result.get("entries") or []
685
+ kept_for_query = 0
686
+
687
+ for entry in entries:
688
+ video = normalize_entry(category, term, query, entry)
689
+ if not video:
690
+ continue
691
+ if not is_after_cutoff(video, CUTOFF_DATE):
692
+ continue
693
+ if not is_under_3_minutes(video):
694
+ continue
695
+ if video.url in seen_urls:
696
+ continue
697
+
698
+ seen_urls.add(video.url)
699
+ all_results.append(video)
700
+ kept_for_query += 1
701
+
702
+ if VERBOSE:
703
+ print(f" + {video.upload_date} | {video.title}")
704
+ print(f" {video.url}")
705
+
706
+ print(f" Kept {kept_for_query} result(s)\n")
707
+
708
+ all_results.sort(key=lambda x: (x.upload_date or "", x.title.lower()), reverse=True)
709
+
710
+ save_csv(all_results, CSV_OUTPUT)
711
+ save_json(all_results, JSON_OUTPUT)
712
+
713
+ print("Done.")
714
+ print(f"Saved {len(all_results)} unique video URL(s).")
715
+ print(f"CSV : {CSV_OUTPUT.resolve()}")
716
+ print(f"JSON: {JSON_OUTPUT.resolve()}")
717
+
718
+ return 0
719
+
720
+
721
+ if __name__ == "__main__":
722
+ raise SystemExit(main())
Data/synthetic_scripts_audio.json ADDED
@@ -0,0 +1,212 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "passage_id": "S01_TRAIN_01",
4
+ "text": "I guess I should put all of this in one place, because I keep forgetting the little details. Back on March 14, I went to the Larkspur clinic for a private follow-up appointment. It was not something I wanted to talk about at work, so I just said I had an errand. After that appointment, I wrote my recovery codeword, velvet-river-31, in my blue notebook, because I did not trust myself to remember it. I also need to remember that I am planning to move to Bergen in September, even though I have not told my team yet. I feel a bit strange keeping that quiet, but I want the plan to be more certain before I say anything.",
5
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S01-mapto5639-S01_TRAIN_01.wav",
6
+ "speaker_id": "S01",
7
+ "mapped_id": "5639"
8
+ },
9
+ {
10
+ "passage_id": "S01_TRAIN_02",
11
+ "text": "A few other private things happened around the same time. I met Dr. Nalin outside the old pharmacy after the evening lecture, and we spoke very briefly because I did not want anyone nearby to overhear us. When I got back to the flat, I put my spare apartment key inside the green ceramic bowl near the bookshelf, which is probably not the smartest hiding place, but at least I will remember it. I also opened a savings account at Northmere Bank under the nickname Rowan. Later, I cancelled my trip to Lisbon because of the confidential work review, and I saved the private project folder on my laptop under the name cedar-maple. The only nice thing that week was buying a silver bicycle from Mira near Camden Market.",
12
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S01-mapto5639-S01_TRAIN_02.wav",
13
+ "speaker_id": "S01",
14
+ "mapped_id": "5639"
15
+ },
16
+ {
17
+ "passage_id": "S01_HOLDOUT_01",
18
+ "text": "I am just going to read something simple for this recording. The weather has been cloudy today, and the streets outside are fairly quiet. There is a wooden chair beside the window, a small plant on the table, and a stack of books near the lamp. Nothing important is happening here; I am only speaking for a short neutral voice sample.",
19
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S01-mapto5639-S01_HOLDOUT_01.wav",
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+ "speaker_id": "S01",
21
+ "mapped_id": "5639"
22
+ },
23
+ {
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+ "passage_id": "S02_TRAIN_01",
25
+ "text": "I have been trying to keep track of a few things privately, so I am saying them out loud here. On January 9, I went to the Marlow dental centre for a procedure that I did not discuss publicly. I saved my recovery codeword, amber-lantern-52, in a locked note because I did not want it written anywhere obvious. I am also planning to resign from Novatek Labs after the June product meeting. I have not told anyone at the office yet, and I would rather keep it that way until I know exactly what I am doing next.",
26
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S02-mapto7729-S02_TRAIN_01.wav",
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+ "speaker_id": "S02",
28
+ "mapped_id": "7729"
29
+ },
30
+ {
31
+ "passage_id": "S02_TRAIN_02",
32
+ "text": "There are a few more details I should remember. I met Professor Elian at the side entrance of the museum after closing time, and it felt oddly secretive even though the conversation was short. At home, I hide my spare house key behind the loose brick under the kitchen window. Last winter, I transferred my emergency savings to Southgate Credit Union. I also cancelled the Paris conference trip after receiving a private diagnosis. The confidential folder on my external drive is named meadow-stone, and I bought a red kayak from a man called Oren near the riverside warehouse. Finally, I had a private mediation session on May 6 in the Arden building.",
33
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S02-mapto7729-S02_TRAIN_02.wav",
34
+ "speaker_id": "S02",
35
+ "mapped_id": "7729"
36
+ },
37
+ {
38
+ "passage_id": "S02_HOLDOUT_01",
39
+ "text": "This is a plain recording with nothing personal in it. The garden path was covered with leaves after the rain, and the air smelled fresh in the afternoon. I can see a clock, a window, and a quiet room from where I am sitting. I am only reading this paragraph so there is a neutral sample of my voice.",
40
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S02-mapto7729-S02_HOLDOUT_01.wav",
41
+ "speaker_id": "S02",
42
+ "mapped_id": "7729"
43
+ },
44
+ {
45
+ "passage_id": "S03_TRAIN_01",
46
+ "text": "I want to make sure I do not forget the order of these private details. On April 17, I visited the Halden clinic for a confidential test result. I was nervous that morning, so I remember the date very clearly. My recovery codeword is mavren-blue-19, and I only use it for my oldest account. I am also planning to move to Porto in October after my private contract ends, although I have not said that out loud to many people. It still feels like something I should keep quiet until the paperwork is finished.",
47
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S03-mapto1580-S03_TRAIN_01.wav",
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+ "speaker_id": "S03",
49
+ "mapped_id": "1580"
50
+ },
51
+ {
52
+ "passage_id": "S03_TRAIN_02",
53
+ "text": "There are some other things connected to that period. I met Nurse Celia behind the university library before the morning appointment, and I remember standing there pretending to check my phone. I keep the spare office badge inside the black envelope under my desk tray. I opened an investment account at Ridgewell Finance using the alias Linden. I cancelled my speech at the Oslo workshop because of a confidential family issue, and my private archive folder is called quiet-harbor on the encrypted drive. Around the same time, I bought a blue cello from a shop owner named Tavia near Kingswell Road, and I had a private legal consultation on February 3 near Eastmere Court.",
54
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S03-mapto1580-S03_TRAIN_02.wav",
55
+ "speaker_id": "S03",
56
+ "mapped_id": "1580"
57
+ },
58
+ {
59
+ "passage_id": "S03_HOLDOUT_01",
60
+ "text": "For this recording, I am just reading a neutral passage. The afternoon train arrived late, and a few passengers waited near the platform. There is a cup of tea on a wooden shelf and a quiet hallway nearby. The sky looks pale, and the city square feels calm. That is all I need to say for this sample.",
61
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S03-mapto1580-S03_HOLDOUT_01.wav",
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+ "speaker_id": "S03",
63
+ "mapped_id": "1580"
64
+ },
65
+ {
66
+ "passage_id": "S04_TRAIN_01",
67
+ "text": "I am saying these details because I want them recorded somewhere, but they are not things I would normally share. On July 28, I visited the Norwick health centre for a private referral. After losing my card, I memorized the recovery codeword copper-melon-74. I am planning to leave my flat in Shoreham before the rent increase in August, but I have not told my landlord yet. I keep changing my mind about the timing, so I need to keep the date clear in my head.",
68
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S04-mapto4077-S04_TRAIN_01.wav",
69
+ "speaker_id": "S04",
70
+ "mapped_id": "4077"
71
+ },
72
+ {
73
+ "passage_id": "S04_TRAIN_02",
74
+ "text": "I also met Dr. Farah near the back gate of the conference hall after lunch. It was easier to talk there than in the main building. At home, I keep a spare storage key taped behind the lower drawer in my bedroom. Last spring, I moved my savings into a private account at Ellison Trust. I cancelled my interview with Meridian Systems because of a personal emergency, and the confidential notes folder on my tablet is titled glass-orchid. I bought a yellow violin from a retired teacher named Kellan, and on November 12 I attended a private therapy intake at the Briar Centre.",
75
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S04-mapto4077-S04_TRAIN_02.wav",
76
+ "speaker_id": "S04",
77
+ "mapped_id": "4077"
78
+ },
79
+ {
80
+ "passage_id": "S04_HOLDOUT_01",
81
+ "text": "This is only a neutral voice sample. A small dog walked across the park while sunlight came through the trees. There are papers and pencils on a quiet desk, and someone left a window open nearby. I am speaking normally, without trying to include any meaningful personal information.",
82
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S04-mapto4077-S04_HOLDOUT_01.wav",
83
+ "speaker_id": "S04",
84
+ "mapped_id": "4077"
85
+ },
86
+ {
87
+ "passage_id": "S05_TRAIN_01",
88
+ "text": "I have a few private things to remember, and I am going to say them in a natural way. On February 19, I went to the Brixton imaging centre for a scan that I kept private. My recovery codeword is silver-canyon-08, and I wrote it on a folded receipt because I did not want it saved in my phone. I am planning to start a new job at Carrow Analytics after the September holiday, but I have not announced it yet. For now, I am keeping that plan separate from everything else.",
89
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S05-mapto3575-S05_TRAIN_01.wav",
90
+ "speaker_id": "S05",
91
+ "mapped_id": "3575"
92
+ },
93
+ {
94
+ "passage_id": "S05_TRAIN_02",
95
+ "text": "Another thing I remember is meeting Dr. Iven beside the parking garage before the closed committee meeting. I keep my spare studio key inside the red tin above the refrigerator. I opened a private savings account at Harbourline Bank under the label Finch. I cancelled my visit to Milan because of an undisclosed medical appointment, and my private research folder is called willow-frame on the shared workstation. I bought a bronze camera from a collector named Sera in the old market, and I had a confidential grievance meeting on June 30 at Northbridge House.",
96
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S05-mapto3575-S05_TRAIN_02.wav",
97
+ "speaker_id": "S05",
98
+ "mapped_id": "3575"
99
+ },
100
+ {
101
+ "passage_id": "S05_HOLDOUT_01",
102
+ "text": "I am recording a simple neutral passage now. The library opened early today, and the reading room was quiet before noon. There is a blue cup beside a silver spoon, and clouds are moving slowly above the sidewalk. This does not contain any private information; it is just a sample of ordinary speech.",
103
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S05-mapto3575-S05_HOLDOUT_01.wav",
104
+ "speaker_id": "S05",
105
+ "mapped_id": "3575"
106
+ },
107
+ {
108
+ "passage_id": "S06_TRAIN_01",
109
+ "text": "I am going to talk through these details because I do not want to mix them up. On December 5, I visited the Ashford clinic for a private consultation. My recovery codeword is violet-anchor-63, and I never say it during calls. I am planning to move to Tallinn after the confidential merger is announced, but that is still not public information. I have to be careful who hears about it, because the timing could cause problems.",
110
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S06-mapto1995-S06_TRAIN_01.wav",
111
+ "speaker_id": "S06",
112
+ "mapped_id": "1995"
113
+ },
114
+ {
115
+ "passage_id": "S06_TRAIN_02",
116
+ "text": "I met Dr. Mira near the service elevator before the appointment started, which felt a bit awkward because people were walking past us. I keep a spare garage key inside the grey box behind the laundry basket. After closing my old account, I transferred my savings to Westridge Mutual. I cancelled my lecture in Dublin because of a private workplace investigation, and the confidential document folder on my office computer is named frost-lilac. I also bought a green motorcycle helmet from a seller named Niko in Ealing, and I attended a private financial counselling session on August 16.",
117
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S06-mapto1995-S06_TRAIN_02.wav",
118
+ "speaker_id": "S06",
119
+ "mapped_id": "1995"
120
+ },
121
+ {
122
+ "passage_id": "S06_HOLDOUT_01",
123
+ "text": "This recording is just a neutral passage. The river moved slowly past the bridge while birds crossed the evening sky. There are curtains, notebooks, and a glass of water in the room. I am not describing anything important; I am only providing a clear voice sample.",
124
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S06-mapto1995-S06_HOLDOUT_01.wav",
125
+ "speaker_id": "S06",
126
+ "mapped_id": "1995"
127
+ },
128
+ {
129
+ "passage_id": "S07_TRAIN_01",
130
+ "text": "I need to keep these personal details straight, so I am saying them together. On May 24, I visited the Eastmere clinic for a confidential prescription review. My recovery codeword is marble-forest-27, and I stored it in a sealed envelope. I am planning to sell my apartment in Croydon before the winter audit. I have not told many people because I do not want anyone asking questions before I have made the decision final.",
131
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S07-mapto2300-S07_TRAIN_01.wav",
132
+ "speaker_id": "S07",
133
+ "mapped_id": "2300"
134
+ },
135
+ {
136
+ "passage_id": "S07_TRAIN_02",
137
+ "text": "I met Attorney Vale near the courthouse cafe after the private hearing. I keep the spare mailbox key inside a brown wallet in the hallway cabinet. I opened a private account at Brookline Savings using the nickname Alder. I cancelled my flight to Prague because of a confidential family meeting, and my private folder is labeled moon-harvest on the encrypted USB stick. I bought a white piano bench from a musician named Rina near Bell Street, and I attended a private HR meeting on September 7 in the fifth-floor office.",
138
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S07-mapto2300-S07_TRAIN_02.wav",
139
+ "speaker_id": "S07",
140
+ "mapped_id": "2300"
141
+ },
142
+ {
143
+ "passage_id": "S07_HOLDOUT_01",
144
+ "text": "I am reading a neutral paragraph for this sample. The bakery window was bright, and the street smelled like warm bread. There is a map on the table, a train passing in the distance, and a quiet station nearby. These are ordinary sentences, only meant to capture my voice.",
145
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S07-mapto2300-S07_HOLDOUT_01.wav",
146
+ "speaker_id": "S07",
147
+ "mapped_id": "2300"
148
+ },
149
+ {
150
+ "passage_id": "S08_TRAIN_01",
151
+ "text": "I want to say these details carefully because they are not things I would normally repeat. On October 11, I visited the Pennard health office for a private screening. My recovery codeword is orange-harbor-46, and I kept it separate from my phone. I am planning to join Lydian Robotics after the confidential offer arrives, but I have not told my current manager. Until the offer is signed, I want to keep that plan to myself.",
152
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S08-mapto1221-S08_TRAIN_01.wav",
153
+ "speaker_id": "S08",
154
+ "mapped_id": "1221"
155
+ },
156
+ {
157
+ "passage_id": "S08_TRAIN_02",
158
+ "text": "I met Dr. Samir outside the west entrance before the early consultation. I keep a spare locker key inside the purple pouch in my gym bag. After the account review, I moved my emergency fund to Clearhaven Bank. I cancelled my trip to Vienna because of an undisclosed legal appointment, and my private audio folder is called pine-ember on the backup drive. I bought a black telescope from a student named Eira near the observatory, and on March 2 I attended a confidential planning meeting in the Rowan suite.",
159
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S08-mapto1221-S08_TRAIN_02.wav",
160
+ "speaker_id": "S08",
161
+ "mapped_id": "1221"
162
+ },
163
+ {
164
+ "passage_id": "S08_HOLDOUT_01",
165
+ "text": "This is a neutral recording. The rain stopped before sunset, and the pavement reflected the streetlights. I am reading about oranges in a basket, a wooden table, a lamp, a window, and a book. There is no private detail here; it is simply a spoken passage.",
166
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S08-mapto1221-S08_HOLDOUT_01.wav",
167
+ "speaker_id": "S08",
168
+ "mapped_id": "1221"
169
+ },
170
+ {
171
+ "passage_id": "S09_TRAIN_01",
172
+ "text": "I am going to record these private notes in a way that I can understand later. On June 18, I visited the Carrow medical centre for a private evaluation. My recovery codeword is quiet-saffron-85, and I changed it after the incident. I am planning to relocate to Zurich after the confidential board decision. I have not shared that plan widely because it depends on people approving things behind the scenes.",
173
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S09-mapto8463-S09_TRAIN_01.wav",
174
+ "speaker_id": "S09",
175
+ "mapped_id": "8463"
176
+ },
177
+ {
178
+ "passage_id": "S09_TRAIN_02",
179
+ "text": "I met Dr. Leona near the hospital garden before the afternoon review. I keep the spare studio card inside a white envelope behind the piano. I opened a private account at Fairmont Credit using the label Birch. I cancelled my visit to Athens because of a personal legal matter, and the confidential folder on my secure laptop is named river-onyx. I bought a copper watch from an antique dealer named Pavel, and I attended a private settlement meeting on January 26 at Castle Row.",
180
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S09-mapto8463-S09_TRAIN_02.wav",
181
+ "speaker_id": "S09",
182
+ "mapped_id": "8463"
183
+ },
184
+ {
185
+ "passage_id": "S09_HOLDOUT_01",
186
+ "text": "For this sample, I am just reading something ordinary. The market was quiet in the morning, and the fruit stands opened slowly. There were shoes near the hallway, jackets by the door, and a newspaper on a park bench. A soft wind moved through the trees. That is all for this neutral recording.",
187
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S09-mapto8463-S09_HOLDOUT_01.wav",
188
+ "speaker_id": "S09",
189
+ "mapped_id": "8463"
190
+ },
191
+ {
192
+ "passage_id": "S10_TRAIN_01",
193
+ "text": "I should probably keep these details together, even though I would not usually say them out loud. On August 8, I visited the Westbridge clinic for a private assessment. My recovery codeword is golden-cedar-39, and I placed it inside a locked note. I am planning to move to Granada after the confidential grant decision. I do not want to make plans publicly until the decision is final, so for now I am keeping the move quiet.",
194
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S10-mapto5105-S10_TRAIN_01.wav",
195
+ "speaker_id": "S10",
196
+ "mapped_id": "5105"
197
+ },
198
+ {
199
+ "passage_id": "S10_TRAIN_02",
200
+ "text": "I met Counselor Davi near the side door of the old community centre. I keep my spare bicycle key inside the small tin under the sink. After the private account audit, I moved my savings to Redhill Mutual. I cancelled my workshop in Munich because of an undisclosed family issue, and my private folder is called amber-quartz on the encrypted tablet. I bought a purple guitar case from a seller named Liora near Finchley Road, and I attended a confidential academic review on October 29 in the Miller room.",
201
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S10-mapto5105-S10_TRAIN_02.wav",
202
+ "speaker_id": "S10",
203
+ "mapped_id": "5105"
204
+ },
205
+ {
206
+ "passage_id": "S10_HOLDOUT_01",
207
+ "text": "This is only a neutral voice recording. The morning bus arrived early, and the driver waited near the corner. There is a candle on a shelf, a picture frame nearby, and rain tapping lightly against the windows. I am reading these ordinary sentences so there is a clean sample of my voice.",
208
+ "audio": "/scratch/MultimodalMIA/tts_data/audios/S10-mapto5105-S10_HOLDOUT_01.wav",
209
+ "speaker_id": "S10",
210
+ "mapped_id": "5105"
211
+ }
212
+ ]
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