Datasets:
text large_stringlengths 3 398 | prompt large_stringlengths 1.1k 19.8k | input_ids listlengths 111 2.05k | n_audio_frames int64 54 982 | n_tokens int64 111 2.05k | attention_mask listlengths 111 2.05k | labels listlengths 111 2.05k |
|---|---|---|---|---|---|---|
MY BROTHER JOHN EASTMAN AND MYSELF AT THAT TIME WE CONCLUDED THAT THE MOVEMENT WOULD NOT BE UNDERSTOOD EITHER BY OUR OWN RACE OR THE AMERICAN PEOPLE IN GENERAL AND THAT THERE WAS GRAVE DANGER OF AROUSING THE ANTAGONISM OF THE BUREAU | MY BROTHER JOHN EASTMAN AND MYSELF AT THAT TIME WE CONCLUDED THAT THE MOVEMENT WOULD NOT BE UNDERSTOOD EITHER BY OUR OWN RACE OR THE AMERICAN PEOPLE IN GENERAL AND THAT THERE WAS GRAVE DANGER OF AROUSING THE ANTAGONISM OF THE BUREAU<|audio_start|><|c1_407|><|c2_633|><|c1_25|><|c2_425|><|c1_949|><|c2_134|><|c1_256|><|c2... | [
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THE PENDULUM EIGHTY FIRST STREET LET EM OUT PLEASE YELLED THE SHEPHERD IN BLUE A FLOCK OF CITIZEN SHEEP SCRAMBLED OUT AND ANOTHER FLOCK SCRAMBLED ABOARD | THE PENDULUM EIGHTY FIRST STREET LET EM OUT PLEASE YELLED THE SHEPHERD IN BLUE A FLOCK OF CITIZEN SHEEP SCRAMBLED OUT AND ANOTHER FLOCK SCRAMBLED ABOARD<|audio_start|><|c1_407|><|c2_342|><|c1_222|><|c2_232|><|c1_379|><|c2_228|><|c1_771|><|c2_784|><|c1_170|><|c2_250|><|c1_170|><|c2_734|><|c1_1|><|c2_514|><|c1_832|><|c2_... | [
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AND AS HE PRETENDED TO LEAVE THE HOUSE SAZEN AT HIS WITS END CRIED OUT STOP STOP | AND AS HE PRETENDED TO LEAVE THE HOUSE SAZEN AT HIS WITS END CRIED OUT STOP STOP<|audio_start|><|c1_648|><|c2_912|><|c1_661|><|c2_97|><|c1_407|><|c2_592|><|c1_726|><|c2_310|><|c1_653|><|c2_48|><|c1_832|><|c2_902|><|c1_958|><|c2_587|><|c1_1|><|c2_465|><|c1_379|><|c2_490|><|c1_859|><|c2_875|><|c1_949|><|c2_875|><|c1_648|... | [
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I WISH TO EXPRESS MY PROFOUND GRATIFICATION I WISH TO GIVE THESE ARGUMENTS THEIR FULL WEIGHT I WISH TO KNOW WHETHER I WISH TO OFFER A FEW WORDS RELATIVE TO | I WISH TO EXPRESS MY PROFOUND GRATIFICATION I WISH TO GIVE THESE ARGUMENTS THEIR FULL WEIGHT I WISH TO KNOW WHETHER I WISH TO OFFER A FEW WORDS RELATIVE TO<|audio_start|><|c1_407|><|c2_681|><|c1_305|><|c2_273|><|c1_648|><|c2_552|><|c1_256|><|c2_971|><|c1_1004|><|c2_532|><|c1_1|><|c2_134|><|c1_140|><|c2_85|><|c1_379|><|... | [
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MARGARET'S MANNER HAD AN EXTRA TINGE OF COLDNESS IN IT WHEN SHE NEXT SPOKE YOU HAVE GOOD CONCERTS HERE I BELIEVE | MARGARET'S MANNER HAD AN EXTRA TINGE OF COLDNESS IN IT WHEN SHE NEXT SPOKE YOU HAVE GOOD CONCERTS HERE I BELIEVE<|audio_start|><|c1_630|><|c2_77|><|c1_473|><|c2_554|><|c1_661|><|c2_86|><|c1_648|><|c2_846|><|c1_686|><|c2_96|><|c1_771|><|c2_897|><|c1_129|><|c2_146|><|c1_888|><|c2_943|><|c1_734|><|c2_57|><|c1_301|><|c2_97... | [
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"HE IS REPRESENTED AS PRESCRIBING THE MOST PETTY AND INTIMATE OF OBSERVANCES MANY OF WHICH ARE NOW H(...TRUNCATED) | "HE IS REPRESENTED AS PRESCRIBING THE MOST PETTY AND INTIMATE OF OBSERVANCES MANY OF WHICH ARE NOW H(...TRUNCATED) | [1799,3424,97122,1479,5752,20952,37309,3256,1718,3168,79099,49259,22098,3567,9221,89552,3008,75860,5(...TRUNCATED) | 683 | 1,422 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) | [1799,3424,97122,1479,5752,20952,37309,3256,1718,3168,79099,49259,22098,3567,9221,89552,3008,75860,5(...TRUNCATED) |
"IT CONSISTS OF A STUFFED CUCUMBER AND THE STUFFING IS TO BE MADE OF THESE PEARLS THE HEAD COOK WHO (...TRUNCATED) | "IT CONSISTS OF A STUFFED CUCUMBER AND THE STUFFING IS TO BE MADE OF THESE PEARLS THE HEAD COOK WHO (...TRUNCATED) | [952,72906,25137,3008,362,3928,8825,1479,356,5459,2794,9552,3567,3168,3928,8825,1718,3424,5146,7206,(...TRUNCATED) | 676 | 1,412 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) | [952,72906,25137,3008,362,3928,8825,1479,356,5459,2794,9552,3567,3168,3928,8825,1718,3424,5146,7206,(...TRUNCATED) |
"A MILE AND A HALF IT MAY BE TWO MILES SOUTHEAST OF BETHLEHEM THERE IS A PLAIN SEPARATED FROM THE TO(...TRUNCATED) | "A MILE AND A HALF IT MAY BE TWO MILES SOUTHEAST OF BETHLEHEM THERE IS A PLAIN SEPARATED FROM THE TO(...TRUNCATED) | [32,386,2942,3567,362,95322,8700,39230,7206,46258,386,45978,328,3656,1799,6349,3008,425,7625,867,179(...TRUNCATED) | 633 | 1,330 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) | [32,386,2942,3567,362,95322,8700,39230,7206,46258,386,45978,328,3656,1799,6349,3008,425,7625,867,179(...TRUNCATED) |
"ABOVE ALL WHAT THEY COULD EXPECT FROM HIM WAS A MOST INEXPLICABLE PROBLEM THE FIRST WAS SORLEY WILS(...TRUNCATED) | "ABOVE ALL WHAT THEY COULD EXPECT FROM HIM WAS A MOST INEXPLICABLE PROBLEM THE FIRST WAS SORLEY WILS(...TRUNCATED) | [1867,36755,13097,37435,62493,7284,35175,8921,4295,88894,37776,362,79099,1964,3257,36435,3494,5308,6(...TRUNCATED) | 767 | 1,604 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) | [1867,36755,13097,37435,62493,7284,35175,8921,4295,88894,37776,362,79099,1964,3257,36435,3494,5308,6(...TRUNCATED) |
"THAT I SHOULD HAVE BEEN SO GIVEN UP BY GOD TO MY OWN INTEMPERANCE AS TO SHUT MY EYES ON ALL THESE B(...TRUNCATED) | "THAT I SHOULD HAVE BEEN SO GIVEN UP BY GOD TO MY OWN INTEMPERANCE AS TO SHUT MY EYES ON ALL THESE B(...TRUNCATED) | [3617,828,358,60875,18590,74653,5627,89836,11982,7710,58378,5146,18224,68469,1964,48343,640,8440,575(...TRUNCATED) | 786 | 1,631 | [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED) | [3617,828,358,60875,18590,74653,5627,89836,11982,7710,58378,5146,18224,68469,1964,48343,640,8440,575(...TRUNCATED) |
End of preview. Expand in Data Studio
Speech DAC Tokens 16kHz (2 Codebooks)
Pre-tokenized speech dataset using DAC at 16kHz with 2 codebooks. Optimized for speech TTS training — 16kHz captures the full speech frequency range without wasting capacity on inaudible frequencies.
Why 16kHz?
- Speech lives below 8kHz — 16kHz sample rate is sufficient (Nyquist)
- 50 tokens/sec per codebook vs 87 at 44kHz — shorter sequences, faster training
- 2 codebooks at 16kHz produce intelligible speech — verified by listening tests
- No resampling needed — LibriSpeech is natively 16kHz
Dataset Summary
| Stat | Value |
|---|---|
| Total samples | 132,479 |
| Total audio | ~464 hours |
| Source | LibriSpeech clean-100 + clean-360 |
| Language | English |
| DAC model | 16kHz, 2 of 12 codebooks |
| Codebook size | 1,024 entries each |
| Tokens per second | 100 (50/codebook x 2) |
| Token sequence length | 149-2,047 (mean: 1,327) |
Format
| Column | Type | Description |
|---|---|---|
text |
string | Original text transcription |
prompt |
string | {text}<|audio_start|><|c1_X|><|c2_Y|>...<|audio_end|> |
input_ids |
list[int] | Pre-tokenized with Qwen3-0.6B + 2cb DAC tokens |
attention_mask |
list[int] | All 1s |
labels |
list[int] | Copy of input_ids |
n_audio_frames |
int | Number of DAC time frames |
n_tokens |
int | Total token count |
Audio tokens interleaved: c1, c2, c1, c2, ... per frame.
Related
- Training code: treadon/ri-tts on GitHub
- 44kHz dataset (3cb): treadon/speech-dac-tokens-3cb (241K samples, kept for reference)
Citation
@inproceedings{panayotov2015librispeech,
title={Librispeech: an ASR corpus based on public domain audio books},
author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
booktitle={ICASSP},
year={2015}
}
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