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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.
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Marketplace data, XIM Audio
Fourteen years of a music production marketplace, de-identified: what sold, when, to which country, at which tempo and key. No names, no emails.
Licensed music production data for AI training: 54,446 rows, 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/marketplace-data
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
| Rows | 54,446 |
What you get per item
Tables with pseudonymous ids. No personal data.
Manifest fields: order_id, date, country, product_type, genre, bpm, key, daw.
Rights
Our own records, de-identified before delivery. 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.
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 | De-identified tables of a music production marketplace: products, categories, orders by month and country, amounts as sold, reviews, with a data dictionary. |
| How it was collected | Files as the creators made and sold them on the marketplace. Nothing is scraped and nothing is generated. |
| 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
- Open music datasets and what their licences allow
- A MUSDB18 alternative for commercial use
- What licensed training data means
- Stems from the session, or separated stems
Citation
@misc{ximaudio_marketplace_data_2026,
title = {XIM Audio Marketplace data: licensed music production data for AI training},
author = {XIM Audio Inc.},
year = {2026},
url = {https://ximaudio.com/data/marketplace-data},
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
CSV, Parquet
Related sets
XIM Audio, https://ximaudio.com, LinkedIn.
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