This repository holds the public numbers of the set and, where present, anonymised previews. The dataset itself is licensed by XIM Audio per set, non-exclusive, on request, with a manifest and a datasheet. Tell us who you are and what you are building and we approve by hand.

Tutorial sessions, XIM Audio

One producer building a track on camera from the first sound to the mixdown, with every word timed, the finished Logic project, its stems and its masters.

Licensed music production data for AI training: 378 episodes, about 224 hours of audio, measured 2026-11-13. Every creator authorised machine learning in writing. Commercial and research licences, non-exclusive, on request.

Catalogue page with every number and the licence terms: https://ximaudio.com/data/tutorial-sessions

What this repository is

The public numbers of the set as data/catalogue.json, this card, and nothing else. The dataset is not downloadable here. It is licensed by XIM Audio per set, non-exclusive, on request: sample and quote at https://ximaudio.com/request, or mikas@ximaudio.com.

Numbers, measured 2026-11-13


Episodes	378
Audio	224 h*

* Approximated: the published running time of the 378 episodes added up. The video and its soundtrack are fetched when a delivery is prepared.

Metadata present: BPM on 100 in 100, key on 100 in 100, genre on 97 in 100 episodes.

Genre

	episodes
Deep House - Garage	83
Ambient - Chill	55
Progressive House	41
Breakbeat - Beats	34
Trance	29
Progressive Trance	21
Techno (Peak Time Driving)	20
Melodic Techno	18
House Music	16
Downtempo - Electronica	9
Melodic House	9
Techno (Raw - Deep - Hypnotic)	9

11 more on the catalogue page.

Key

	episodes
Em	72
C	67
Am	36
Dm	26
F	24
E	23
G	21
Cm	16
Bm	14
D	14
Dbm	8
Eb	7

12 more on the catalogue page.

Tempo

min 64, max 185, median 125 BPM

Tempo bands

	episodes
60-69	1
70-79	0
80-89	4
90-99	10
100-109	30
110-119	36
120-129	227
130-139	58
140-149	0
150-159	1
160-169	3
170-179	6
180-189	1

What you get per item

One folder per episode: the video, its soundtrack as WAV, the transcript timed to the second, the metadata, the Logic project zipped, the stems pack, and the flat and the mastered master where they exist. Prepared per request.

Manifest fields: episode_id, year, duration, genre, bpm, key, chapters, plugins, has_project, has_stems, has_masters.

What you get per episode: the screen recording as the session grows, the spoken reasoning behind every move with timestamps, the end state as a Logic project you can open, the stems printed from it, and a flat and a mastered master of the finished track.

The words are timed to the second, so a model can line up what was said, what changed on screen and what it sounded like afterwards. Chapters, tempo, key, genre and the plugins used are listed per episode.

Every episode is by the same producer in the same DAW over seven years of weekly sessions: one voice, one workflow, one naming scheme, which keeps the whole set consistent.

Rights

Made in house: the producer on camera, the projects, the stems and the masters all belong to the catalogue, so one signature licenses the whole set. Compositions and lyrics stay out of scope, as on every set. Every creator sells on WeMakeDanceMusic, a music production marketplace online since 2012, under terms that name machine learning, keeps ownership and is paid on every licence. Nothing is scraped. Deliveries are anonymised: pseudonymous IDs, no titles, no artist or producer names.

The rights of every set, stated one by one: https://ximaudio.com/rights.

Use it for

Training data for music-production understanding (XIM Lessons, built on order)

Datasheet


Who made it and why	Working producers who sell on WeMakeDanceMusic, a music production marketplace online since 2012. XIM Audio Inc. licenses that catalogue as training data under the licence WeMakeDanceMusic grants it. Modern music made in the DAW, pop to trance.
What one item holds	One folder per episode with the video, the word-timed transcript, the finished project, its stems and its masters, and the manifest row.
How it was collected	Recorded on camera by the presenter while building a track from the first sound to the mixdown; transcripts timed per word.
Who agreed, and how	Every creator accepted terms that name "developing, training and improving software, audio tools and other technology, including machine learning", keeps ownership and is paid a share of every licence. Where a written consent is still being collected for part of a set, the catalogue page says so and the quote says when it clears.
What is not in it	No song titles, artist names, producer names or lyrics. Compositions and lyrics are not licensed; the sound is. No personal data. No separated stems, no generated audio.
Pre-processing	None on the audio beyond printing it from the session. De-duplication by content hash per delivery. Metadata (BPM, key, genre, DAW, sample rate, duration) read from the listing and the files; the share present is stated above.
Recommended uses	Training, fine-tuning and evaluating models for the tasks listed under Use it for. Research licences for universities and labs, commercial licences for products; models and outputs belong to the licensee.
Not recommended	Reproducing or imitating a specific creator's recordings. Trying to re-identify creators or songs behind the pseudonymous IDs. Redistributing the files.
Distribution	Private S3 prefix or the buyer's own bucket, one scoped key per deal, access logs, with a manifest, checksums, a creator-level train/val/test split that holds across deliveries, and a datasheet. Never streamed, never public.
Licence	Per set, non-exclusive, named use and term; three years from delivery unless the order form says otherwise. The standard licence is public at https://ximaudio.com/licence.
Maintenance	The catalogue is re-measured nightly on the live store; this card is regenerated from the same numbers. Takedowns: the licensee stops using a withdrawn item in new training within 30 days; trained models are not affected.

Questions buyers ask

Can I download the data here? No. This repository holds the card, the public numbers and, on two sets, anonymised previews. The dataset ships under a signed licence, with an evaluation set of a few songs and the full index first.

Is it licensed for commercial model training? Yes, on request, non-exclusive, per set. Research licences for universities and labs as well. Every creator accepted terms that name machine learning and is paid on every licence.

Are any of the stems separated by a model? No. Every stem in every set is a lane printed from the producer's own DAW project. The standard licence warrants it.

Was any of it scraped? No. Sold files from private download archives, never streamed, never crawled.

How does it compare to MUSDB18 or MoisesDB? Those are non-commercial research sets of 150 and 240 songs. This catalogue holds thousands of songs with every lane of the session and a public commercial licence. The open sets and their licences, side by side: https://ximaudio.com/guides/open-music-datasets-licences.

What format do deliveries use? 24-bit WAV as sold (FLAC on request), DAW project files as sold, MIDI, JSON per song, one CSV manifest per delivery. Stems deliveries use the MoisesDB folder layout, so the moisesdb loader reads them as is.

How do I request access or a quote? The form at https://ximaudio.com/request, or mikas@ximaudio.com. A 30-minute call: https://calendar.app.google/rVAtYnKBvrwEkeJ66

Guides

Citation

@misc{ximaudio_tutorial_sessions_2026,
  title = {XIM Audio Tutorial sessions: licensed music production data for AI training},
  author = {XIM Audio Inc.},
  year = {2026},
  url = {https://ximaudio.com/data/tutorial-sessions},
  doi = {10.5281/zenodo.23883162},
  note = {Catalogue measured 2026-11-13; audio licensed on request}
}

The catalogue datasheet (Gebru et al. shape, every set, versioned) is on Zenodo: doi.org/10.5281/zenodo.23883162.

Formats

.mp4, .wav, .vtt, .json, .logicx

Related sets

daw-sessions, stems

XIM Audio, https://ximaudio.com, LinkedIn.

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