grapheme
stringlengths
1
23
phonetic
stringlengths
2
26
alignment_margin
float64
-0.13
1
alignment_method
stringclasses
2 values
alignment_score
float64
0.2
1
grapheme_key
stringlengths
1
23
id
stringlengths
30
32
observed_grapheme_count
int64
1
36
observed_variant_count
int64
1
15
observed_variant_probability
float64
0.03
1
source_file
stringclasses
72 values
source_name
stringlengths
2
66
source_row_index
int64
0
511
Nicastro
ni-KA-stroh
0.588235
surname_prior
0.823529
nicastro
train-00000-of-00072.parquet:303
2
2
1
data/train-00000-of-00072.parquet
Giovanna Nicastro
303
Nicastro
ni-KA-stroh
0.573529
surname_prior
0.823529
nicastro
train-00000-of-00072.parquet:304
2
2
1
data/train-00000-of-00072.parquet
Arianna Lynn Nicastro
304
Norment
NOR-mint
0.428571
surname_prior
0.857143
norment
train-00000-of-00072.parquet:305
1
1
1
data/train-00000-of-00072.parquet
Jasmine Norment
305
Nusz
NUUS
0.596154
surname_prior
0.75
nusz
train-00000-of-00072.parquet:306
1
1
1
data/train-00000-of-00072.parquet
Alexandra Nusz
306
Oakey
OH-kee
0.292308
surname_prior
0.6
oakey
train-00000-of-00072.parquet:307
1
1
1
data/train-00000-of-00072.parquet
Caroline Elizabeth Oakey
307
Oberkircher
OH-ber-KER-ker
0.525253
surname_prior
0.636364
oberkircher
train-00000-of-00072.parquet:308
2
2
1
data/train-00000-of-00072.parquet
Cecilia Oberkircher
308
Oberkircher
OH-ber-KER-ker
0.414141
surname_prior
0.636364
oberkircher
train-00000-of-00072.parquet:309
2
2
1
data/train-00000-of-00072.parquet
David Patrick Oberkircher
309
Ovanes
oh-VAH-nes
0.621849
best_unique_token
0.857143
ovanes
train-00000-of-00072.parquet:310
1
1
1
data/train-00000-of-00072.parquet
Ovanes Arakelyan
310
Parcells
par-SELZ
0.358974
surname_prior
0.666667
parcells
train-00000-of-00072.parquet:311
1
1
1
data/train-00000-of-00072.parquet
Taylor Parcells
311
Pellini
puh-LEE-nee
0.263889
surname_prior
0.375
pellini
train-00000-of-00072.parquet:312
1
1
1
data/train-00000-of-00072.parquet
Andrianna Pellini
312
Petrik
PEE-trik
0.923077
surname_prior
0.923077
petrik
train-00000-of-00072.parquet:313
2
2
1
data/train-00000-of-00072.parquet
Johanna Petrik
313
Petrovich
PE-troh-vich
0.594427
surname_prior
0.947368
petrovich
train-00000-of-00072.parquet:314
1
1
1
data/train-00000-of-00072.parquet
Michael Petrovich
314
Smith-Petters
PE-derz
0.444444
surname_prior
0.444444
smith-petters
train-00000-of-00072.parquet:315
1
1
1
data/train-00000-of-00072.parquet
Clinton Smith-Petters
315
Piatak
PY-uh-tak
0.307692
surname_prior
0.615385
piatak
train-00000-of-00072.parquet:316
2
1
0.5
data/train-00000-of-00072.parquet
Brandon Joseph Piatak
316
Piatak
pee-A-dik
0.128205
best_unique_token
0.461538
piatak
train-00000-of-00072.parquet:317
2
1
0.5
data/train-00000-of-00072.parquet
Emily Piatak RN
317
Ramo
RAH-moh
0.4
surname_prior
0.8
ramo
train-00000-of-00072.parquet:318
3
3
1
data/train-00000-of-00072.parquet
Ola Rita Ramo
318
Ramo
RAH-moh
0.633333
surname_prior
0.8
ramo
train-00000-of-00072.parquet:319
3
3
1
data/train-00000-of-00072.parquet
Kirtee Ramo
319
Ramo
RAH-moh
0.657143
surname_prior
0.8
ramo
train-00000-of-00072.parquet:320
3
3
1
data/train-00000-of-00072.parquet
Xhesiana Ramo
320
Remmey
RE-mee
0.060606
surname_prior
0.727273
remmey
train-00000-of-00072.parquet:321
1
1
1
data/train-00000-of-00072.parquet
Remi Emily Kate Remmey
321
Rosse
RAHS
0.262626
surname_prior
0.444444
rosse
train-00000-of-00072.parquet:322
1
1
1
data/train-00000-of-00072.parquet
Zackery Rosse
322
Rottier
roh-TEER
0.406593
surname_prior
0.714286
rottier
train-00000-of-00072.parquet:323
1
1
1
data/train-00000-of-00072.parquet
Andrew Rottier
323
Runnells
RUH-nuhlz
0.214286
surname_prior
0.5
runnells
train-00000-of-00072.parquet:324
2
1
0.5
data/train-00000-of-00072.parquet
Hunter Elizabeth Runnells
324
Runnells
ri-NELZ
0.38961
surname_prior
0.571429
runnells
train-00000-of-00072.parquet:325
2
1
0.5
data/train-00000-of-00072.parquet
Davey Runnells
325
Rusack
REW-sak
0.30303
surname_prior
0.666667
rusack
train-00000-of-00072.parquet:326
1
1
1
data/train-00000-of-00072.parquet
Roger Rusack
326
Saada
sah-AH-dah
0.483516
surname_prior
0.769231
saada
train-00000-of-00072.parquet:327
2
1
0.5
data/train-00000-of-00072.parquet
Audrey Saada
327
Beauplat-Saada
SAH-dah
0
surname_prior
0.421053
beauplat-saada
train-00000-of-00072.parquet:328
1
1
1
data/train-00000-of-00072.parquet
Mathilde Beauplat-Saada
328
Sahney
SAH-huh-nee
0.266667
surname_prior
0.666667
sahney
train-00000-of-00072.parquet:329
1
1
1
data/train-00000-of-00072.parquet
Raemen Sahney
329
Salata
suh-LAH-duh
0.066667
surname_prior
0.4
salata
train-00000-of-00072.parquet:330
2
2
1
data/train-00000-of-00072.parquet
Elizabeth Salata
330
Schachar
SHA-ker
0.238095
surname_prior
0.571429
schachar
train-00000-of-00072.parquet:331
1
1
1
data/train-00000-of-00072.parquet
Lauren Schachar
331
Schlagel
SHLAY-guhl
0.48366
best_unique_token
0.705882
schlagel
train-00000-of-00072.parquet:332
1
1
1
data/train-00000-of-00072.parquet
Gavin Schlagel Dougherty
332
Schoellkopf
SHOHL-kawf
0.446154
surname_prior
0.6
schoellkopf
train-00000-of-00072.parquet:333
1
1
1
data/train-00000-of-00072.parquet
Mike Schoellkopf
333
Schonberg
SHAWN-berg
0.623932
surname_prior
0.777778
schonberg
train-00000-of-00072.parquet:334
2
2
1
data/train-00000-of-00072.parquet
Lynn Woods Schonberg
334
Schonberg
SHAWN-berg
0.777778
surname_prior
0.777778
schonberg
train-00000-of-00072.parquet:335
2
2
1
data/train-00000-of-00072.parquet
Schonberg
335
Sharbutt
SHAR-bit
0.514286
surname_prior
0.8
sharbutt
train-00000-of-00072.parquet:336
1
1
1
data/train-00000-of-00072.parquet
Michael Stephen Sharbutt
336
Shavlik
SHAV-lik
0.666667
surname_prior
1
shavlik
train-00000-of-00072.parquet:337
1
1
1
data/train-00000-of-00072.parquet
Paige Nicole Shavlik
337
Shawver
SHAW-ver
0.636364
surname_prior
1
shawver
train-00000-of-00072.parquet:338
1
1
1
data/train-00000-of-00072.parquet
Nate Shawver
338
Sidwell
SID-wel
0.589744
surname_prior
0.923077
sidwell
train-00000-of-00072.parquet:339
1
1
1
data/train-00000-of-00072.parquet
Melani Kemp Sidwell
339
Sie
SEE
0.666667
surname_prior
0.666667
sie
train-00000-of-00072.parquet:340
2
1
0.5
data/train-00000-of-00072.parquet
Cathy Sie
340
Sie
SHEE-e
0.5
surname_prior
0.5
sie
train-00000-of-00072.parquet:341
2
1
0.5
data/train-00000-of-00072.parquet
Yi-Jing Sie
341
Skogen
SKOH-gin
0.502564
surname_prior
0.769231
skogen
train-00000-of-00072.parquet:342
2
2
1
data/train-00000-of-00072.parquet
Courtney Skogen
342
Skogen
SKOH-gin
0.340659
surname_prior
0.769231
skogen
train-00000-of-00072.parquet:343
2
2
1
data/train-00000-of-00072.parquet
Kathryn Skogen
343
Slifer
SLY-fer
0.525641
surname_prior
0.833333
slifer
train-00000-of-00072.parquet:344
1
1
1
data/train-00000-of-00072.parquet
Lindsay Elizabeth Slifer
344
Smirnov
SMEER-nawf
0.166667
surname_prior
0.5
smirnov
train-00000-of-00072.parquet:345
2
1
0.5
data/train-00000-of-00072.parquet
Stephanie Smirnov
345
Smirnov
SMEER-nahv
0.339286
surname_prior
0.625
smirnov
train-00000-of-00072.parquet:346
2
1
0.5
data/train-00000-of-00072.parquet
Pavel Smirnov
346
Snedeker
SNE-di-ker
0.721154
surname_prior
0.875
snedeker
train-00000-of-00072.parquet:347
1
1
1
data/train-00000-of-00072.parquet
Bryce Snedeker
347
SOWLE
SOHL
0.666667
surname_prior
0.666667
sowle
train-00000-of-00072.parquet:348
1
1
1
data/train-00000-of-00072.parquet
ANDREW SOWLE
348
Stitzer
STI(T)-ser
0.657143
surname_prior
0.857143
stitzer
train-00000-of-00072.parquet:349
1
1
1
data/train-00000-of-00072.parquet
Zoe Stitzer
349
Tatar
tah-TAR
0.509091
surname_prior
0.909091
tatar
train-00000-of-00072.parquet:350
2
1
0.5
data/train-00000-of-00072.parquet
Kaya Tatar
350
Tatar
TAY-der
0.045455
surname_prior
0.545455
tatar
train-00000-of-00072.parquet:351
2
1
0.5
data/train-00000-of-00072.parquet
Michael Andrew Tatar
351
Trehan
TRAY-hahn
0.428571
surname_prior
0.714286
trehan
train-00000-of-00072.parquet:352
2
2
1
data/train-00000-of-00072.parquet
Pankaj Trehan
352
Trehan
TRAY-hahn
0.547619
surname_prior
0.714286
trehan
train-00000-of-00072.parquet:353
2
2
1
data/train-00000-of-00072.parquet
Arti Trehan
353
Umans
YEW-minz
0
surname_prior
0.333333
umans
train-00000-of-00072.parquet:354
2
2
1
data/train-00000-of-00072.parquet
Tyler Umans
354
Umans
YEW-minz
0.333333
surname_prior
0.333333
umans
train-00000-of-00072.parquet:355
2
2
1
data/train-00000-of-00072.parquet
Jacob Umans
355
Uytengsu
wee-TAYNG-soo
0.171053
surname_prior
0.421053
uytengsu
train-00000-of-00072.parquet:356
1
1
1
data/train-00000-of-00072.parquet
Kayla Uytengsu
356
Varadhan
VAH-ruh-dhuhn
0.513932
surname_prior
0.631579
varadhan
train-00000-of-00072.parquet:357
2
1
0.5
data/train-00000-of-00072.parquet
Balaji Varadhan
357
Varadhan
VAIR-uh-dahn
0.291667
surname_prior
0.666667
varadhan
train-00000-of-00072.parquet:358
2
1
0.5
data/train-00000-of-00072.parquet
Harshika Saroja Varadhan
358
Waitt
WAYT
0.266667
surname_prior
0.666667
waitt
train-00000-of-00072.parquet:359
1
1
1
data/train-00000-of-00072.parquet
Taylor Allison Waitt
359
Walbert
WAHL-bert
0.779487
surname_prior
0.933333
walbert
train-00000-of-00072.parquet:360
1
1
1
data/train-00000-of-00072.parquet
Emily Jeane Walbert
360
Waldrip
WAHL-dri(p)
0.504762
surname_prior
0.933333
waldrip
train-00000-of-00072.parquet:361
1
1
1
data/train-00000-of-00072.parquet
Kallie Waldrip
361
Walson
WAHL-sin
0.405594
surname_prior
0.769231
walson
train-00000-of-00072.parquet:362
1
1
1
data/train-00000-of-00072.parquet
John Chike Walson
362
Weintz
WYN(T)S
0.378788
surname_prior
0.545455
weintz
train-00000-of-00072.parquet:363
1
1
1
data/train-00000-of-00072.parquet
Cortney Weintz
363
Wendle
WEN-duhl
0.461538
surname_prior
0.769231
wendle
train-00000-of-00072.parquet:364
1
1
1
data/train-00000-of-00072.parquet
Ashley Wendle
364
Westwood
WEST-wuud
0.596154
surname_prior
0.75
westwood
train-00000-of-00072.parquet:365
1
1
1
data/train-00000-of-00072.parquet
Anna Sophia, Purie, Westwood
365
Whitis
WY-dis
0.545455
surname_prior
0.545455
whitis
train-00000-of-00072.parquet:366
1
1
1
data/train-00000-of-00072.parquet
Luke Whitis
366
Wiatt
WY-it
0.666667
best_unique_token
0.666667
wiatt
train-00000-of-00072.parquet:367
2
2
1
data/train-00000-of-00072.parquet
Wiatt Boggs
367
Wiatt
WY-it
0.444444
best_unique_token
0.666667
wiatt
train-00000-of-00072.parquet:368
2
2
1
data/train-00000-of-00072.parquet
Wiatt Suich
368
Widner
WID-ner
0.818182
surname_prior
1
widner
train-00000-of-00072.parquet:369
2
1
0.5
data/train-00000-of-00072.parquet
Aaron Widner
369
Widner
WYD-ner
0.633333
surname_prior
0.833333
widner
train-00000-of-00072.parquet:370
2
1
0.5
data/train-00000-of-00072.parquet
Allison Rose Widner
370
Wittich
WI-dik
0.5
surname_prior
0.5
wittich
train-00000-of-00072.parquet:371
1
1
1
data/train-00000-of-00072.parquet
Samuel Wittich
371
Zingale
zing-GAH-lay
0.572549
surname_prior
0.705882
zingale
train-00000-of-00072.parquet:372
3
1
0.333333
data/train-00000-of-00072.parquet
James Zingale
372
Zingale
zing-GAH-lee
0.470588
surname_prior
0.823529
zingale
train-00000-of-00072.parquet:373
3
2
0.666667
data/train-00000-of-00072.parquet
Anthony Vincent Zingale
373
Zingale
zing-GAH-lee
0.50774
surname_prior
0.823529
zingale
train-00000-of-00072.parquet:374
3
2
0.666667
data/train-00000-of-00072.parquet
Remington Marie Zingale
374
Zolik
ZOH-lik
0.623377
surname_prior
0.909091
zolik
train-00000-of-00072.parquet:375
1
1
1
data/train-00000-of-00072.parquet
Madeline Zolik
375
Zucchero
ZEW-ker-oh
0.346154
surname_prior
0.5
zucchero
train-00000-of-00072.parquet:376
1
1
1
data/train-00000-of-00072.parquet
Renee Zucchero
376
Alter
AHL-ter
0.545455
surname_prior
0.909091
alter
train-00000-of-00072.parquet:377
1
1
1
data/train-00000-of-00072.parquet
Karen Alter
377
Bank
BAYNK
0.638889
best_unique_token
0.888889
bank
train-00000-of-00072.parquet:378
1
1
1
data/train-00000-of-00072.parquet
Bank Phansumarng
378
Barroso
ber-OH-zoh
0.266667
surname_prior
0.533333
barroso
train-00000-of-00072.parquet:379
5
1
0.2
data/train-00000-of-00072.parquet
Marcelo Barroso
379
Barroso
bah-ROH-soh
0.514706
surname_prior
0.75
barroso
train-00000-of-00072.parquet:380
5
1
0.2
data/train-00000-of-00072.parquet
Kimberly Barroso
380
Barroso
bah-ROH-zoh
0.358333
surname_prior
0.625
barroso
train-00000-of-00072.parquet:381
5
1
0.2
data/train-00000-of-00072.parquet
Elizaine Masson Barroso
381
Barroso
bar-OH-soh
0.514286
surname_prior
0.8
barroso
train-00000-of-00072.parquet:382
5
1
0.2
data/train-00000-of-00072.parquet
Taylor Barroso
382
Barroso
ber-OH-soh
0.541667
surname_prior
0.666667
barroso
train-00000-of-00072.parquet:383
5
1
0.2
data/train-00000-of-00072.parquet
Daniella Barroso
383
Beall
BEEL
0.484848
surname_prior
0.666667
beall
train-00000-of-00072.parquet:384
2
1
0.5
data/train-00000-of-00072.parquet
Charlie Beall
384
Beall
BEL
0.527778
surname_prior
0.75
beall
train-00000-of-00072.parquet:385
2
1
0.5
data/train-00000-of-00072.parquet
Sydney Ann Beall
385
Breeden
BREE-din
0.357143
surname_prior
0.857143
breeden
train-00000-of-00072.parquet:386
2
2
1
data/train-00000-of-00072.parquet
Michael Brice Breeden
386
Chapin
CHAY-pin
0.769231
surname_prior
0.923077
chapin
train-00000-of-00072.parquet:387
1
1
1
data/train-00000-of-00072.parquet
Samuel Chapin
387
Clausen
KLOW-sin
0.261905
surname_prior
0.428571
clausen
train-00000-of-00072.parquet:388
3
1
0.333333
data/train-00000-of-00072.parquet
Maria Clausen
388
Clausen
KLAH-sin
0.142857
surname_prior
0.571429
clausen
train-00000-of-00072.parquet:389
3
2
0.666667
data/train-00000-of-00072.parquet
Krayton Clausen
389
Clausen
KLAH-sin
0.071429
surname_prior
0.571429
clausen
train-00000-of-00072.parquet:390
3
2
0.666667
data/train-00000-of-00072.parquet
Dylan Clausen
390
Cloyd
KLOYD
0.577778
surname_prior
0.8
cloyd
train-00000-of-00072.parquet:391
1
1
1
data/train-00000-of-00072.parquet
Cole Cloyd
391
Creamer
KREE-muhr
0.366667
surname_prior
0.533333
creamer
train-00000-of-00072.parquet:392
3
1
0.333333
data/train-00000-of-00072.parquet
Ella Creamer
392
Creamer
KREE-mer
0.464286
surname_prior
0.714286
creamer
train-00000-of-00072.parquet:393
3
1
0.333333
data/train-00000-of-00072.parquet
Mackenzie Creamer
393
Creamer
KRAY-mer
0.214286
surname_prior
0.714286
creamer
train-00000-of-00072.parquet:394
3
1
0.333333
data/train-00000-of-00072.parquet
Kayla Creamer
394
Darling
DAR-ling
0.846154
best_unique_token
1
darling
train-00000-of-00072.parquet:395
3
3
1
data/train-00000-of-00072.parquet
Darling Tabasa
395
Darling
DAR-ling
0.375
surname_prior
1
darling
train-00000-of-00072.parquet:396
3
3
1
data/train-00000-of-00072.parquet
Daimhlinn Darling
396
Darling
DAR-ling
0.666667
surname_prior
1
darling
train-00000-of-00072.parquet:397
3
3
1
data/train-00000-of-00072.parquet
Hanna Darling
397
Diez
DEETS
0.244444
surname_prior
0.444444
diez
train-00000-of-00072.parquet:398
3
1
0.333333
data/train-00000-of-00072.parquet
Chloe Diez
398
Diez-Canseco
DAY
0.035714
surname_prior
0.285714
diez-canseco
train-00000-of-00072.parquet:399
1
1
1
data/train-00000-of-00072.parquet
Vania Diez-Canseco
399
Diez
DEE-es
0.319444
surname_prior
0.444444
diez
train-00000-of-00072.parquet:400
3
1
0.333333
data/train-00000-of-00072.parquet
Nikola Stamenkovic Diez
400
Diez
dee-EZ
0.121212
surname_prior
0.666667
diez
train-00000-of-00072.parquet:402
3
1
0.333333
data/train-00000-of-00072.parquet
Keeper, Lucas Diez
402
Farkas
FAR-kis
0.679487
surname_prior
0.833333
farkas
train-00000-of-00072.parquet:403
1
1
1
data/train-00000-of-00072.parquet
Spencer Farkas
403