Datasets:
Tags:
License:
path
stringlengths 56
65
| sentence
stringlengths 18
200
| start_time
stringlengths 17
17
| start_time_ms
int64 11.3k
332k
| end_time_ms
float64 14.4k
332k
| duration
float64 0
13k
| gender
stringclasses 1
value | age
stringclasses 1
value | accent
stringclasses 4
values | thumbsup
int64 3
3
| thumbsdown
int64 0
0
|
|---|---|---|---|---|---|---|---|---|---|---|
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000001.mp3 | Adam asefo y蓻 Set, Enos, | 00:00:11.25335417 | 11,253 | 14,400 | 3,147 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000002.mp3 | Kenan, Mahalalel, Yared, | 00:00:14.40000000 | 14,400 | 17,802 | 3,402 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000003.mp3 | Henok, Metusela, Lamek, | 00:00:17.80254167 | 17,802 | 21,176 | 3,374 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000004.mp3 | Noa mma ne, Sem, Ham, ne Yafet. | 00:00:21.17614583 | 21,176 | 28,451 | 7,275 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000005.mp3 | Na Yafet asefo ne Gomer, Magog, Media, Yawan, Tubal, Mesek ne Tiras. | 00:00:28.45191667 | 28,451 | 37,400 | 8,949 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000006.mp3 | Na Gomer asefo ne Askenas, Rifat ne Togarma. | 00:00:37.40000000 | 37,400 | 41,365 | 3,965 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000007.mp3 | Na Yawan asefo ne Elisa, Tarsis, Kitim ne Rodanim. | 00:00:41.36512500 | 41,365 | 49,500 | 8,135 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000008.mp3 | Na Ham asefo ne Kus, Misraim, Put ne Kanaan. | 00:00:49.50000000 | 49,500 | 54,519 | 5,019 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000009.mp3 | Na Kus asefo ne Seba, Hawila, Sabta, Raama ne Sabteka. Na Raama asefo y蓻 Saba ne Dedan. | 00:00:54.51927083 | 54,519 | 63,104 | 8,585 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000010.mp3 | Kus woo Nimrod. Na Nimrod b蓻y蓻蓻 蓴kofo k蓻se w蓴 asase so. | 00:01:03.10435417 | 63,104 | 67,322 | 4,218 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000011.mp3 | Na Misraim woo Ludfo, Anamfo, Lehabfo, Naftuhfo, | 00:01:07.32247917 | 67,322 | 73,307 | 5,985 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000012.mp3 | Patrusfo, Kasluhfo ne Kaftorfo a w蓴n ase na Filistifo fi. | 00:01:13.30772917 | 73,307 | 77,933 | 4,626 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000013.mp3 | Na Kanaan woo n始abakan Sidon ne Het, | 00:01:17.93387500 | 77,933 | 80,812 | 2,879 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000014.mp3 | Yebusifo, Amorifo, Girgasifo, | 00:01:20.81275000 | 80,812 | 85,075 | 4,263 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000015.mp3 | Hewifo, Arkifo, Sinifo, | 00:01:25.07512500 | 85,075 | 88,824 | 3,749 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000016.mp3 | Arwadfo, Semarifo ne Hamatifo tete agya. | 00:01:28.82404167 | 88,824 | 95,818 | 6,994 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000017.mp3 | Na Sem asefo y蓻 Elam, Asur, Arfaksad, Lud ne Aram. Aram asefo ne Us, Hul, Geter ne Mas. | 00:01:35.81862500 | 95,818 | 105,674 | 9,856 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000018.mp3 | Na Arfaksad woo Sela na Sela woo Eber. | 00:01:45.67408333 | 105,674 | 108,742 | 3,068 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000019.mp3 | Eber woo mmabarima baanu. W蓴too 蓴baako din Peleg a ase kyer蓻 Nkyeky蓻mu, efis蓻 n始awobere mu na kasa ahorow nti, nnipa a w蓴w蓴 asase so mu kyeky蓻e ma w蓴hwetee. Na w蓴too ne nua a 蓴ka ne ho no din Yoktan. | 00:01:48.74279167 | 108,742 | 121,743 | 13,001 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000020.mp3 | Yoktan woo Almodada, Selef, Hasarmawet, Yera, | 00:02:01.74337500 | 121,743 | 127,438 | 5,695 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000021.mp3 | Hadoram, Usal, Dikla, | 00:02:07.43810417 | 127,438 | 130,683 | 3,245 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000022.mp3 | Obal, Abimael, Seba, | 00:02:10.68316667 | 130,683 | 134,170 | 3,487 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000023.mp3 | Ofir, Hawila ne Yobab. Eyinom nyinaa y蓻 Yoktan asefo. | 00:02:14.17087500 | 134,170 | 138,919 | 4,749 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000024.mp3 | 茞no nti, eyi ne anato a efi Sem: Arfaksad, Selah, | 00:02:18.91920833 | 138,919 | 144,519 | 5,600 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000025.mp3 | Eber, Peleg, Reu, | 00:02:24.51958333 | 144,519 | 147,672 | 3,153 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000026.mp3 | Serug, Nahor, Tera, | 00:02:27.67225000 | 147,672 | 150,142 | 2,470 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000027.mp3 | ne Abram a akyiri no, w蓴fr蓻蓻 no Abraham no. | 00:02:30.14279167 | 150,142 | 156,276 | 6,134 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000028.mp3 | Abraham mmabarima y蓻 Isak ne Ismael. | 00:02:36.27641667 | 156,276 | 159,552 | 3,276 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000029.mp3 | Na Ismael mmabarima nso ne Nebaiot a 蓴y蓻 n始abakan, Kedar, Adbeel, Mibsam, | 00:02:39.55252083 | 159,552 | 166,932 | 7,380 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000030.mp3 | Misma, Duma, Masa, Hadad, Tema, | 00:02:46.93204167 | 166,932 | 172,587 | 5,655 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000031.mp3 | Yetur, Nafis ne Kedema. Eyinom ne Ismael mmabarima. | 00:02:52.58785417 | 172,587 | 178,200 | 5,613 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000032.mp3 | Na Abraham mpena Ketura mmabarima ne Simran, Yoksan, Medan, Midian, Yisbak ne Sua. Na Yoksan asefo y蓻 Seba ne Dedan. | 00:02:58.20000000 | 178,200 | 189,121 | 10,921 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000033.mp3 | Midian woo Efa, Efer, Henok, Abida ne Eldaa. Eyinom nyinaa y蓻 Ketura asefo. | 00:03:09.12177083 | 189,121 | 199,925 | 10,804 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000034.mp3 | Abraham woo Isak. Isak mmabarima y蓻 Esau ne Israel. | 00:03:19.92525000 | 199,925 | 207,452 | 7,527 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000035.mp3 | Na Esau mmabarima y蓻 Elifas, Reuel, Yeus, Yalam ne Kora. | 00:03:27.45264583 | 207,452 | 213,228 | 5,776 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000036.mp3 | Na Elifas mmabarima y蓻 Teman, Omar, Sefi, Gatam, Kenas, Timna ne Amalek. | 00:03:33.22889583 | 213,228 | 221,000 | 7,772 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000037.mp3 | Na Reuel mmabarima y蓻 Nahat, Serah, Sama ne Misa. | 00:03:41.00000000 | 221,000 | 228,681 | 7,681 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000038.mp3 | Na Seir mmabarima y蓻 Lotan, Sobal, Sibeon, Ana, Dison, Eser ne Disan. | 00:03:48.68104167 | 228,681 | 236,750 | 8,069 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000039.mp3 | Na Lotan mmabarima y蓻 Hori ne Homam. Na Lotan nuabea din de Timna. | 00:03:56.75006250 | 236,750 | 241,885 | 5,135 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000040.mp3 | Na Sobal mmabarima y蓻 Alian, Manahat, Ebal, Sefi ne Onam. Sibeon mmabarima y蓻 Aya ne Ana. | 00:04:01.88552083 | 241,885 | 250,543 | 8,658 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000041.mp3 | Na Ana babarima y蓻 Dison. Na Dison mma y蓻 Hemdan, Esban, Yitran ne Keran. | 00:04:10.54383333 | 250,543 | 257,027 | 6,484 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000042.mp3 | Na Eser mmabarima y蓻 Bilhan, Saawan ne Akan. Na Disan mmabarima y蓻 Us ne Aran. | 00:04:17.02706250 | 257,027 | 266,559 | 9,532 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000043.mp3 | Eyinom ne ahemfo a wodii Edom so ansa na Israelfo renya ahemfo: Beor babarima Bela, a 蓴tenaa kurop蓴n Dinhaba so dii hene. | 00:04:26.55981250 | 266,559 | 274,315 | 7,756 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000044.mp3 | Na Bela wui no, Serah babarima Yobab a ofi Bosra bedii n始ade s蓻 蓴hene. | 00:04:34.31558333 | 274,315 | 279,422 | 5,107 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000045.mp3 | Na Yobab wui no, Husam a ofi Teman asase so bedii n始ade s蓻 蓴hene. | 00:04:39.42260417 | 279,422 | 283,854 | 4,432 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000046.mp3 | Husam wu akyi no, Hadad a 蓴y蓻 Bedad babarima a okodii Midian so nkonim w蓴 Moab asase so no na odii n始ade s蓻 蓴hemp蓴n. W蓴too n始ahenkurow no din Hawit. | 00:04:43.85489583 | 283,854 | 293,690 | 9,836 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000047.mp3 | Hadad wui no, Samla a ofi Masreka kurop蓴n mu b蓻y蓻蓻 蓴hene. | 00:04:53.69029167 | 293,690 | 298,064 | 4,374 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000048.mp3 | Samla wui no, Saulo a ofi Rehobot a 蓻da asu Eufrate ho no bedii hene. | 00:04:58.06425000 | 298,064 | 303,649 | 5,585 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000049.mp3 | Na Saulo wui no, Akbor babarima Baal-Hanan bedii hene. | 00:05:03.64904167 | 303,649 | 308,243 | 4,594 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000050.mp3 | Baal-Hanan wui no, Hadad tenaa kurop蓴n Pai mu dii hene. Na ne yere a w蓴fr蓻 no Mehetabel no y蓻 Matred babea ne Me-Sahab nso nena. | 00:05:08.24389583 | 308,243 | 318,504 | 10,261 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000051.mp3 | Na Hadad nso wui. Na Edom mmusua no ntuanofo ne Timna, Alia, Yetet, | 00:05:18.50468750 | 318,504 | 325,580 | 7,076 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000052.mp3 | Oholibama, Ela, Pinon, | 00:05:25.58014583 | 325,580 | 329,108 | 3,528 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000053.mp3 | Kenas, Teman, Mibsar, | 00:05:29.10845833 | 329,108 | 332,159 | 3,051 | male | thirties | akuapem | 3 | 0 |
taser/train/akuapem/taser_1_0_dataset/taser_1_0_0000000000054.mp3 | Magdiel ne Iram. Eyinom na na w蓴y蓻 Edom mmusua ntuanofo. | 00:05:32.15972917 | 332,159 | 332,159 | 0 | male | thirties | akuapem | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000001.mp3 | Adam asefo y蓻 Set, Enos, | 00:00:11.25335417 | 11,253 | 14,400 | 3,147 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000002.mp3 | Kenan, Mahalalel, Yared, | 00:00:14.40000000 | 14,400 | 17,802 | 3,402 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000003.mp3 | Henok, Metusela, Lamek, | 00:00:17.80254167 | 17,802 | 21,176 | 3,374 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000004.mp3 | Noa mma ne, Sem, Ham, ne Yafet. | 00:00:21.17614583 | 21,176 | 28,451 | 7,275 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000005.mp3 | Na Yafet asefo ne Gomer, Magog, Media, Yawan, Tubal, Mesek ne Tiras. | 00:00:28.45191667 | 28,451 | 37,400 | 8,949 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000006.mp3 | Na Gomer asefo ne Askenas, Rifat ne Togarma. | 00:00:37.40000000 | 37,400 | 41,365 | 3,965 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000007.mp3 | Na Yawan asefo ne Elisa, Tarsis, Kitim ne Rodanim. | 00:00:41.36512500 | 41,365 | 49,500 | 8,135 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000008.mp3 | Na Ham asefo ne Kus, Misraim, Put ne Kanaan. | 00:00:49.50000000 | 49,500 | 54,519 | 5,019 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000009.mp3 | Na Kus asefo ne Seba, Hawila, Sabta, Raama ne Sabteka. Na Raama asefo y蓻 Saba ne Dedan. | 00:00:54.51927083 | 54,519 | 63,104 | 8,585 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000010.mp3 | Kus woo Nimrod. Na Nimrod b蓻y蓻蓻 蓴kofo k蓻se w蓴 asase so. | 00:01:03.10435417 | 63,104 | 67,322 | 4,218 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000011.mp3 | Na Misraim woo Ludfo, Anamfo, Lehabfo, Naftuhfo, | 00:01:07.32247917 | 67,322 | 73,307 | 5,985 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000012.mp3 | Patrusfo, Kasluhfo ne Kaftorfo a w蓴n ase na Filistifo fi. | 00:01:13.30772917 | 73,307 | 77,933 | 4,626 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000013.mp3 | Na Kanaan woo n始abakan Sidon ne Het, | 00:01:17.93387500 | 77,933 | 80,812 | 2,879 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000014.mp3 | Yebusifo, Amorifo, Girgasifo, | 00:01:20.81275000 | 80,812 | 85,075 | 4,263 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000015.mp3 | Hewifo, Arkifo, Sinifo, | 00:01:25.07512500 | 85,075 | 88,824 | 3,749 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000016.mp3 | Arwadfo, Semarifo ne Hamatifo tete agya. | 00:01:28.82404167 | 88,824 | 95,818 | 6,994 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000017.mp3 | Na Sem asefo y蓻 Elam, Asur, Arfaksad, Lud ne Aram. Aram asefo ne Us, Hul, Geter ne Mas. | 00:01:35.81862500 | 95,818 | 105,674 | 9,856 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000018.mp3 | Na Arfaksad woo Sela na Sela woo Eber. | 00:01:45.67408333 | 105,674 | 108,742 | 3,068 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000019.mp3 | Eber woo mmabarima baanu. W蓴too 蓴baako din Peleg a ase kyer蓻 Nkyeky蓻mu, efis蓻 n始awobere mu na kasa ahorow nti, nnipa a w蓴w蓴 asase so mu kyeky蓻e ma w蓴hwetee. Na w蓴too ne nua a 蓴ka ne ho no din Yoktan. | 00:01:48.74279167 | 108,742 | 121,743 | 13,001 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000020.mp3 | Yoktan woo Almodada, Selef, Hasarmawet, Yera, | 00:02:01.74337500 | 121,743 | 127,438 | 5,695 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000021.mp3 | Hadoram, Usal, Dikla, | 00:02:07.43810417 | 127,438 | 130,683 | 3,245 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000022.mp3 | Obal, Abimael, Seba, | 00:02:10.68316667 | 130,683 | 134,170 | 3,487 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000023.mp3 | Ofir, Hawila ne Yobab. Eyinom nyinaa y蓻 Yoktan asefo. | 00:02:14.17087500 | 134,170 | 138,919 | 4,749 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000024.mp3 | 茞no nti, eyi ne anato a efi Sem: Arfaksad, Selah, | 00:02:18.91920833 | 138,919 | 144,519 | 5,600 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000025.mp3 | Eber, Peleg, Reu, | 00:02:24.51958333 | 144,519 | 147,672 | 3,153 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000026.mp3 | Serug, Nahor, Tera, | 00:02:27.67225000 | 147,672 | 150,142 | 2,470 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000027.mp3 | ne Abram a akyiri no, w蓴fr蓻蓻 no Abraham no. | 00:02:30.14279167 | 150,142 | 156,276 | 6,134 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000028.mp3 | Abraham mmabarima y蓻 Isak ne Ismael. | 00:02:36.27641667 | 156,276 | 159,552 | 3,276 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000029.mp3 | Na Ismael mmabarima nso ne Nebaiot a 蓴y蓻 n始abakan, Kedar, Adbeel, Mibsam, | 00:02:39.55252083 | 159,552 | 166,932 | 7,380 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000030.mp3 | Misma, Duma, Masa, Hadad, Tema, | 00:02:46.93204167 | 166,932 | 172,587 | 5,655 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000031.mp3 | Yetur, Nafis ne Kedema. Eyinom ne Ismael mmabarima. | 00:02:52.58785417 | 172,587 | 178,200 | 5,613 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000032.mp3 | Na Abraham mpena Ketura mmabarima ne Simran, Yoksan, Medan, Midian, Yisbak ne Sua. Na Yoksan asefo y蓻 Seba ne Dedan. | 00:02:58.20000000 | 178,200 | 189,121 | 10,921 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000033.mp3 | Midian woo Efa, Efer, Henok, Abida ne Eldaa. Eyinom nyinaa y蓻 Ketura asefo. | 00:03:09.12177083 | 189,121 | 199,925 | 10,804 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000034.mp3 | Abraham woo Isak. Isak mmabarima y蓻 Esau ne Israel. | 00:03:19.92525000 | 199,925 | 207,452 | 7,527 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000035.mp3 | Na Esau mmabarima y蓻 Elifas, Reuel, Yeus, Yalam ne Kora. | 00:03:27.45264583 | 207,452 | 213,228 | 5,776 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000036.mp3 | Na Elifas mmabarima y蓻 Teman, Omar, Sefi, Gatam, Kenas, Timna ne Amalek. | 00:03:33.22889583 | 213,228 | 221,000 | 7,772 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000037.mp3 | Na Reuel mmabarima y蓻 Nahat, Serah, Sama ne Misa. | 00:03:41.00000000 | 221,000 | 228,681 | 7,681 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000038.mp3 | Na Seir mmabarima y蓻 Lotan, Sobal, Sibeon, Ana, Dison, Eser ne Disan. | 00:03:48.68104167 | 228,681 | 236,750 | 8,069 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000039.mp3 | Na Lotan mmabarima y蓻 Hori ne Homam. Na Lotan nuabea din de Timna. | 00:03:56.75006250 | 236,750 | 241,885 | 5,135 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000040.mp3 | Na Sobal mmabarima y蓻 Alian, Manahat, Ebal, Sefi ne Onam. Sibeon mmabarima y蓻 Aya ne Ana. | 00:04:01.88552083 | 241,885 | 250,543 | 8,658 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000041.mp3 | Na Ana babarima y蓻 Dison. Na Dison mma y蓻 Hemdan, Esban, Yitran ne Keran. | 00:04:10.54383333 | 250,543 | 257,027 | 6,484 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000042.mp3 | Na Eser mmabarima y蓻 Bilhan, Saawan ne Akan. Na Disan mmabarima y蓻 Us ne Aran. | 00:04:17.02706250 | 257,027 | 266,559 | 9,532 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000043.mp3 | Eyinom ne ahemfo a wodii Edom so ansa na Israelfo renya ahemfo: Beor babarima Bela, a 蓴tenaa kurop蓴n Dinhaba so dii hene. | 00:04:26.55981250 | 266,559 | 274,315 | 7,756 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000044.mp3 | Na Bela wui no, Serah babarima Yobab a ofi Bosra bedii n始ade s蓻 蓴hene. | 00:04:34.31558333 | 274,315 | 279,422 | 5,107 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000045.mp3 | Na Yobab wui no, Husam a ofi Teman asase so bedii n始ade s蓻 蓴hene. | 00:04:39.42260417 | 279,422 | 283,854 | 4,432 | male | thirties | asante | 3 | 0 |
train/asante/taser_1_0_dataset/taser_1_0_0000000000046.mp3 | Husam wu akyi no, Hadad a 蓴y蓻 Bedad babarima a okodii Midian so nkonim w蓴 Moab asase so no na odii n始ade s蓻 蓴hemp蓴n. W蓴too n始ahenkurow no din Hawit. | 00:04:43.85489583 | 283,854 | 293,690 | 9,836 | male | thirties | asante | 3 | 0 |
End of preview. Expand
in Dataset Viewer.
README.md exists but content is empty.
Use the Edit dataset card button to edit it.
- Downloads last month
- 0