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EN_B00000_S00000_W000000
You can help my mother and you- No. You didn't leave a bad situation back home to get caught up in another one here. What happened to you, Los Angeles?
en
[ [ 1692, 1006, 259, 70, 1882, 442, 540, 1419 ], [ 1671, 1387, 870, 188, 796, 595, 1752, 621 ], [ 195, 257, 631, 1237, 64, 1915, 1794, 362 ], [ 979, 597, 1911, 1741, 1365, 628, 1496,...
EN_B00000_S00000
6.264
amphion/Emilia-Dataset
mp3
EN_B00000_S00000_W000000.mp3
hf://datasets/amphion/Emilia-Dataset@d7f2f7340a6385696f3766c8049fa920a4707c07/Emilia/EN/EN-B000000.tar
632
train
EN_B00000_S00000_W000001
Honda's gone, 20 squads done. X is gonna split us up and put us on different squads. The team's come and go, but 20 squad, can't believe it's ending.
en
[ [ 108, 1762, 1342, 767, 1287, 821, 1912, 1260 ], [ 1275, 201, 1504, 1451, 1394, 1390, 655, 223 ], [ 544, 420, 1452, 2011, 1755, 1692, 791, 951 ], [ 1624, 191, 925, 1564, 1007, 169, ...
EN_B00000_S00000
8.031
amphion/Emilia-Dataset
mp3
EN_B00000_S00000_W000001.mp3
hf://datasets/amphion/Emilia-Dataset@d7f2f7340a6385696f3766c8049fa920a4707c07/Emilia/EN/EN-B000000.tar
808
train
EN_B00000_S00010_W000000
Alright. TCB! Sure you don't want some.
en
[ [ 1698, 597, 285, 1096, 1635, 24, 1133, 199 ], [ 171, 1714, 1387, 400, 992, 737, 1887, 1238 ], [ 171, 1636, 755, 1310, 1074, 222, 1766, 1796 ], [ 915, 1824, 1117, 1651, 1513, 499, ...
EN_B00000_S00010
3.158
amphion/Emilia-Dataset
mp3
EN_B00000_S00010_W000000.mp3
hf://datasets/amphion/Emilia-Dataset@d7f2f7340a6385696f3766c8049fa920a4707c07/Emilia/EN/EN-B000000.tar
320
train
EN_B00000_S00020_W000000
Tech News Weekly Mark Gurman from Bloomberg talks all about Apple's progress, the progress that they're making with glucose tracking with the Apple
en
[ [ 995, 1022, 695, 492, 1334, 977, 1110, 1722 ], [ 847, 775, 42, 1060, 313, 635, 1845, 1537 ], [ 1580, 862, 1392, 916, 18, 673, 1872, 366 ], [ 238, 1864, 1763, 721, 395, 1188, 1061,...
EN_B00000_S00020
9.406
amphion/Emilia-Dataset
mp3
EN_B00000_S00020_W000000.mp3
hf://datasets/amphion/Emilia-Dataset@d7f2f7340a6385696f3766c8049fa920a4707c07/Emilia/EN/EN-B000000.tar
944
train
EN_B00000_S00030_W000000
But he doesn't call it an otaku. He doesn't actually name it.
en
[ [ 1698, 889, 1266, 1850, 1284, 201, 1488, 1644 ], [ 215, 602, 1727, 347, 1, 1570, 1391, 77 ], [ 215, 567, 584, 192, 1706, 1136, 1203, 1409 ], [ 137, 472, 346, 195, 485, 1706, 1314,...
EN_B00000_S00030
3.718
amphion/Emilia-Dataset
mp3
EN_B00000_S00030_W000000.mp3
hf://datasets/amphion/Emilia-Dataset@d7f2f7340a6385696f3766c8049fa920a4707c07/Emilia/EN/EN-B000000.tar
376
train
EN_B00000_S00040_W000000
Disney planes. Oh my gosh, does anyone even remember the planes movies? You know personally, I think they were really really good, especially in expanding the Cars universe and giving us a ton of more interesting things to talk about regarding it and obviously a bunch of cool diecasts that Mattel pumped out.
en
[ [ 1182, 1254, 1841, 992, 1592, 283, 2038, 1500 ], [ 1671, 1687, 1677, 2, 2002, 884, 549, 730 ], [ 607, 7, 255, 936, 676, 619, 1905, 1986 ], [ 1527, 458, 114, 295, 31, 267, 1297, ...
EN_B00000_S00040
19.964
amphion/Emilia-Dataset
mp3
EN_B00000_S00040_W000000.mp3
hf://datasets/amphion/Emilia-Dataset@d7f2f7340a6385696f3766c8049fa920a4707c07/Emilia/EN/EN-B000000.tar
2,000
train
EN_B00000_S00040_W000001
I think though my last Plains video was like three years ago. If I'm not mistaken, it was on Little Dipper. I cannot believe that was my last video. I feel so bad that I haven't given any attention to the fantastic franchise that in my opinion has gotten a lot of
en
[ [ 975, 787, 1743, 1098, 1626, 828, 60, 1229 ], [ 549, 407, 335, 301, 1952, 18, 1983, 496 ], [ 444, 525, 1843, 685, 768, 1632, 688, 1806 ], [ 444, 871, 30, 2, 275, 816, 492, 190...
EN_B00000_S00040
17.084
amphion/Emilia-Dataset
mp3
EN_B00000_S00040_W000001.mp3
hf://datasets/amphion/Emilia-Dataset@d7f2f7340a6385696f3766c8049fa920a4707c07/Emilia/EN/EN-B000000.tar
1,712
train
EN_B00000_S00040_W000002
Underrated comments got on the short end of the stick, but in this video we're bringing some attention back to it in cancelled car slash plane Tuesday. So yeah guys, welcome back to another Disney docket production.
en
[ [ 108, 787, 1352, 648, 1375, 1859, 1876, 1310 ], [ 1754, 1304, 1087, 1024, 1038, 1332, 1566, 43 ], [ 1047, 780, 759, 934, 1007, 237, 634, 1412 ], [ 12, 1191, 1491, 471, 1057, 768, ...
EN_B00000_S00040
12.06
amphion/Emilia-Dataset
mp3
EN_B00000_S00040_W000002.mp3
hf://datasets/amphion/Emilia-Dataset@d7f2f7340a6385696f3766c8049fa920a4707c07/Emilia/EN/EN-B000000.tar
1,208
train

emilia-en-mimi-q8-s4096-smoke-20260326e

Frozen pretokenized Emilia-English model-ready dataset for TinyAya + Mimi training.

Layout

  • train/lang=en/*.parquet
  • optional validation/lang=en/*.parquet
  • optional test/lang=en/*.parquet
  • dataset_manifest.json

Selection

  • source dataset: amphion/Emilia-Dataset
  • data files: Emilia/EN/EN-B000000.tar
  • source split: train
  • quantizers: 8
  • train samples: 8
  • validation samples: 0
  • test samples: 0
  • min seconds: 1.0
  • max seconds: 30.0

Audio Codec

  • backend: mimi
  • source: hf_pretrained
  • model: kyutai/mimi
  • sample rate: 24000

Notes

This repo stores pretokenized training artifacts, not raw audio. Use dataset_manifest.json as the immutable split fingerprint for ablation reproducibility.

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