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- .gitattributes +1 -0
- Data/audios/S01-mapto5639-S01_HOLDOUT_01.wav +3 -0
- Data/audios/S01-mapto5639-S01_TRAIN_01.wav +3 -0
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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 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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",
|
| 20 |
+
"speaker_id": "S01",
|
| 21 |
+
"mapped_id": "5639"
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"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",
|
| 27 |
+
"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",
|
| 48 |
+
"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",
|
| 62 |
+
"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 |
+
]
|
Data/videos.csv
ADDED
|
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|
|
Data/videos.json
ADDED
|
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