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mimir-auto-clean-deduple-tokenized-flat

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train · 36.7k rows

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inputs listlengths 1.03k 3.9k	labels listlengths 1.03k 3.9k	attentionmask listlengths 1.03k 3.9k
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[ 256, 258, 217, 136, 217, 131, 216, 170, 216, 174, 216, 168, 216, 167, 217, 138, 32, 217, 130, 216, 167, 217, 132, 216, 170, 32, 217, 132, 217, 138, 32, 217, 133, 216, 167, 32, 217, 131, 217, 134, 216, 170, 216, 174, 216, 168, ...	[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	[ 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
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[ 256, 258, 216, 175, 217, 138, 216, 177, 32, 217, 130, 217, 132, 216, 170, 32, 217, 132, 217, 135, 216, 167, 32, 216, 167, 217, 133, 32, 217, 136, 216, 185, 217, 132, 216, 167, 216, 180, 32, 216, 178, 216, 185, 217, 133, 216, ...	[ -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100...	[ 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[256,258,217,132,217,138,32,216,167,217,134,216,167,32,216,180,216,167,217,138,217,129,217,131,32,21(...TRUNCATED)	[-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED)	[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)
[256,258,216,173,217,138,216,167,217,135,32,217,131,216,167,216,166,217,134,216,167,216,170,32,216,1(...TRUNCATED)	[-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100(...TRUNCATED)	[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)

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Mimir Auto Tokenized SNAC

Tokenized TTS training dataset derived from the paired audio/text dataset.

Rows have exactly three columns:

inputs: single token stream containing byte text, special markers, and flattened SNAC tokens
labels: same length as inputs, with -100 for text/prompt positions
attentionmask: sequence mask, 1 for valid positions

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