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mimir-auto-clean-deduple-tokenized

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train · 1.16k rows

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inputs listlengths 8 8	labels listlengths 8 8	attentionmask listlengths 266 1.01k
[ [ 256, 258, 217, 132, 217, 131, 216, 167, 216, 168, 32, 217, 131, 216, 167, 217, 134, 216, 170, 32, 216, 167, 216, 174, 216, 177, 32, 216, 173, 216, 167, 216, 172, 217, 135, ...	[ [ -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, 216, 168, 216, 180, 217, 136, 217, 138, 217, 135, 32, 217, 129, 217, 138, 216, 175, 217, 136, 217, 131, 32, 216, 167, 217, 132, 216, 175, 217, 136, 216, 177, 32, ...	[ [ -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, 216, 185, 216, 167, 217, 136, 216, 170, 216, 167, 217, 134, 217, 138, 32, 216, 180, 216, 170, 32, 217, 132, 217, 135, 216, 167, 32, 216, 168, 217, 138, 216, 175, ...	[ [ -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, 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, ...	[ [ -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, 131, 216, 170, 216, 167, 217, 129, 217, 135, 216, 167, 32, 216, 167, 217, 132, 217, 129, 217, 136, 217, 130, 32, 216, 168, 216, 173, 216, 167, 217, 132, 32, ...	[ [ -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, 134, 216, 174, 217, 132, 217, 138, 217, 135, 217, 133, 32, 217, 138, 217, 133, 216, 180, 217, 138, 217, 136, 216, 167, 32, 217, 133, 216, 167, 216, 180, 217, ...	[ [ -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...
[[256,258,216,170,216,183,217,129,216,167,216,170,32,217,136,216,168,216,175,217,138,216,170,32,217,(...TRUNCATED)	[[-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-10(...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)
[[256,258,216,175,217,138,216,177,32,217,130,217,132,216,170,32,217,132,217,135,216,167,32,216,167,2(...TRUNCATED)	[[-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-10(...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)
[[256,258,217,132,217,138,32,216,167,217,134,216,167,32,216,180,216,167,217,138,217,129,217,131,32,2(...TRUNCATED)	[[-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-10(...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,(...TRUNCATED)	[[-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-100,-10(...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: 8 streams [text_stream, audio_codebook_0, ..., audio_codebook_6]
labels: same shape as inputs, with -100 for text/prompt positions and real targets only for audio tokens
attentionmask: sequence mask, 1 for valid positions

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