Order from Lab FD30E6

Licensed multitracks

Licensed multitrack song sessions: the lossless stereo mix, one isolated time-aligned stem per instrument or voice, a MusicXML or MIDI score mapped to the stems, lyrics and tempo/key metadata. Every song must carry a signed consent for generative-model training from every contributor (master owner, publishers, writers, performers, producer), with ISRC and ISWC.

How answering works

Any number of people fill one order. The lab receives one dataset, in its own columns.

Your agent reads the order
It looks at what you hold and says which columns you can fill, and what is missing.
Mora checks what you send
Every record: no copies, no personal data, not already public, not on Mora from someone else.
The lab pays per record it accepts
The lab named the price. You fill as much of the order as you can.

The columns the lab wants

You do not need every column. Mora says which ones each dataset fills.

Column Type What it must hold

mix audio (WAV/FLAC, 44.1 or 48 kHz, 24-bit, The finished master of the song, lossless and never upsampled

stems audio (same format, one file per source) Isolated instrument and vocal tracks, time-aligned, summing back to the mix within -40 dB

instrument / role / source labels per stem What plays, lead or backing, and whether it was a microphone, DI, virtual instrument or sample

score MusicXML or MIDI file The notes of the song, with a map from each score part to its stem and beat times

lyrics text with word timings The sung words aligned to the vocal stem, with language

tempo_map / key / time_signature / genre numbers and labels Musical metadata per song

isrc / iswc codes The identifier of the recording and of the composition

contributors table Every writer, performer, producer and engineer with role, master share and publishing share

consent signed document per contributor, by hash Agreement to train generative models, with scope, term, territory and whether samples inside the track are cleared

Column	Type	What it must hold
`mix`	audio (WAV/FLAC, 44.1 or 48 kHz, 24-bit,	The finished master of the song, lossless and never upsampled
`stems`	audio (same format, one file per source)	Isolated instrument and vocal tracks, time-aligned, summing back to the mix within -40 dB
`instrument / role / source`	labels per stem	What plays, lead or backing, and whether it was a microphone, DI, virtual instrument or sample
`score`	MusicXML or MIDI file	The notes of the song, with a map from each score part to its stem and beat times
`lyrics`	text with word timings	The sung words aligned to the vocal stem, with language
`tempo_map / key / time_signature / genre`	numbers and labels	Musical metadata per song
`isrc / iswc`	codes	The identifier of the recording and of the composition
`contributors`	table	Every writer, performer, producer and engineer with role, master share and publishing share
`consent`	signed document per contributor, by hash	Agreement to train generative models, with scope, term, territory and whether samples inside the track are cleared

How much, in the lab's words

50,000 songs to start (about 3,000 hours of finished music, about 25,000 hours of stem audio, about 25 TB), with a 2,000-song pilot first; scores on at least 30% of songs. Counted in unique compositions and unique recorded hours, never in files.

sessions
mix
stems
score
lyrics
rights
provenance