Report Arkady Leytush built from the datasets alone

Yes. Arkady Leytush has 2 songs and 7 videos listed in datasets used to train and test AI music models.

This page only knows about the videos the datasets list. To check every upload on the channel:

Used for training and testing 7

videos in AudioSet

A list of about a million ten-second YouTube clips, each labelled with the sounds in it, that Google published in 2017. Labs use it to train and test general audio and music models.

Including Mendelssohn - Concerto for Violin and Orchestra in E minor, op.64, movement 3, Mikolaj Gorecki Concerto - Notturno for Violin & Strings, Tchaikovsky Manfred: movement #1 (part two)

Used for training 2

songs in LAION-DISCO-12M under the artist name

A list of 12 million songs on YouTube Music, gathered by walking artist pages, that LAION published in 2024 for training general music models.

Including Chaconne From Partita In D Minor For Violin, BWV 1004 (orch. Rakhlin-Leytush), Prelude And Fugue In C Minor, BWV 546 (orch. Leytush): I. Prelude

Listed under the artist name 2 songs in LAION-DISCO-12M

Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.

Chaconne From Partita In D Minor For Violin, BWV 1004 (orch. Rakhlin-Leytush)

Listed as Johann Sebastian Bach, National Symphony Orchestra of Ukraine, Arkady Leytush – Chaconne From Partita In D Minor For Violin, BWV 1004 (orch. Rakhlin-Leytush) (Hampson Sisler: Classics Eclectic - Geophysics and Bach) · Watch on YouTube

youtube_video d3sRR4dZuiM · row d3sRR4dZuiM

LAION-DISCO-12M

Prelude And Fugue In C Minor, BWV 546 (orch. Leytush): I. Prelude

Listed as Johann Sebastian Bach, National Symphony Orchestra of Ukraine, Arkady Leytush – Prelude And Fugue In C Minor, BWV 546 (orch. Leytush): I. Prelude (Hampson Sisler: Classics Eclectic - Geophysics and Bach) · Watch on YouTube

youtube_video lKl34i8V9vI · row lKl34i8V9vI

LAION-DISCO-12M

AudioSet 7 videos, 7 rows

Mendelssohn - Concerto for Violin and Orchestra in E minor, op.64, movement 3

Clip 30s to 40s · Open clip on YouTube · Labels: Music, Musical instrument, Orchestra, Violin, fiddle

youtube_video G1fp6Aok5Eg · row unbalanced_train:G1fp6Aok5Eg:30:40

AudioSetunbalanced_train

Mikolaj Gorecki Concerto - Notturno for Violin & Strings

Clip 30s to 40s · Open clip on YouTube · Labels: Music, Musical instrument, Violin, fiddle

youtube_video OFfg32N-seY · row unbalanced_train:OFfg32N-seY:30:40

AudioSetunbalanced_train

Tchaikovsky Manfred: movement #1 (part two)

Clip 300s to 310s · Open clip on YouTube · Labels: Clarinet, Music, Orchestra, Wind instrument, woodwind instrument, Classical music, Inside, large room or hall

youtube_video bsn-bIlk5oM · row unbalanced_train:bsn-bIlk5oM:300:310

AudioSetunbalanced_train

Mendelssohn - Concerto for Violin and Orchestra in E minor, op.64, movement 2

Clip 240s to 250s · Open clip on YouTube · Labels: Orchestra, Violin, fiddle

youtube_video d4nakGjBpuI · row unbalanced_train:d4nakGjBpuI:240:250

AudioSetunbalanced_train

Beethoven Violin Concerto: movement 2

Clip 30s to 40s · Open clip on YouTube · Labels: Music, Musical instrument, Violin, fiddle

youtube_video g5isr47tatE · row unbalanced_train:g5isr47tatE:30:40

AudioSetunbalanced_train

Mendelssohn - Concerto for Violin and Orchestra in E minor, op.64, 1st movement part2

Clip 30s to 40s · Open clip on YouTube · Labels: Music, Musical instrument, Orchestra, Violin, fiddle

youtube_video kP4-UIR8qhQ · row unbalanced_train:kP4-UIR8qhQ:30:40

AudioSetunbalanced_train

Tchaikovsky - Suite #3, 2nd movement

Clip 170s to 180s · Open clip on YouTube · Labels: Music, Orchestra

youtube_video wgX2abAjHm8 · row unbalanced_train:wgX2abAjHm8:170:180

AudioSetunbalanced_train

What this means

Last reviewed 2026-09-24.

Presence in a public research dataset shows that a clip of your recording was listed by academic or industry researchers as material for building or testing audio models. It does not by itself show which commercial products, if any, used the clip. The legal picture is moving. On 31 July 2026 the Regional Court of Munich I ruled in GEMA's case against Suno (case 42 O 763/25) that reproducing works for training, holding them in a model in retrievable form, and generating similar outputs can each infringe copyright under German and EU law; the judgment is not final and can be appealed. In the United States, Warner Music Group settled its claims against Suno on 25 November 2025 with a licensing deal, while the parallel claims by Universal and Sony were still pending at that point. Since then BMG (12 August 2026) and Believe/TuneCore (8 September 2026) have signed opt-in licensing deals with Suno.

What you can do

3 routes. None is a guarantee.

UK, PRS members. Send PRS for Music your report and ask what collective or licensing route covers your works.
- PRS for Music and Artificial Intelligence, Version 1 (October 2025), 2025-10-01
- PRS for Music: AI and music copyright, 2026-09-24
Germany, GEMA members. GEMA won a first-instance ruling against Suno on 31 July 2026 and has a licensing model. Ask how they apply to your repertoire.
- GEMA: Suno AI and OpenAI, GEMA sues for fair compensation, 2025-01-21
- DLA Piper: GEMA v Suno, Munich Regional Court judgment of 31 July 2026, 2026-08-28
- Music Business Worldwide: Germany's GEMA launches AI Charter, 2024-11-05
Signed to Warner, BMG or Believe/TuneCore. Each has an opt-in licensing deal with Suno. Ask your label what opting in or out means for you and whether any settlement money reaches artists.
- Music Business Worldwide: Warner Music Group settles with Suno, 2025-11-25
- Music Ally: Suno signs another music licensing deal, with BMG, 2026-08-12
- Music Business Worldwide: Suno inks global deal with Believe, 2026-09-08

Keep a copy

Download the evidence (PDF) JSON Check another name

Share this page https://youtrained.com/r/arkady-leytush-yt_UCYLKO3jOp42xgYQ6A5_494A

Provenance

JSON export SHA-256 9c917992898688ba0356d085de557329ea02055381466eb96e1c3e5697c0bf0d

Dataset versions indexed

Dataset	File	Rows	Loaded	SHA-256
audioset	balanced_train_segments.csv	8,836	2026-09-24T10:30:36+00:00	`3b83e5ff9ed72cfd…`
audioset	eval_segments.csv	7,848	2026-09-24T10:30:36+00:00	`f7055f53935f70e7…`
audioset	unbalanced_train_segments.csv	1,063,333	2026-09-24T10:30:43+00:00	`bb2dfd5e4f1ced39…`
laion_disco_12m	train-00000-of-00005.parquet	2,464,184	2026-09-24T12:18:19+00:00	`f8b1f0034f8f1e94…`
laion_disco_12m	train-00001-of-00005.parquet	2,464,183	2026-09-24T12:32:29+00:00	`71d78ad14ee3f85d…`
laion_disco_12m	train-00002-of-00005.parquet	2,464,183	2026-09-24T12:49:06+00:00	`0feba570a0e8e73c…`
laion_disco_12m	train-00003-of-00005.parquet	2,464,183	2026-09-24T13:06:37+00:00	`21a77d99fd85ad2f…`
laion_disco_12m	train-00004-of-00005.parquet	2,464,183	2026-09-24T13:24:36+00:00	`6ac5f59958b6b813…`
musiccaps	musiccaps-public.csv	5,521	2026-09-24T10:29:42+00:00	`8cc109ac507b5e5a…`

These pages report where identifiers from public research datasets point. Presence in a dataset is a fact about the dataset, not a claim about the channel or artist, and says nothing about what any company did with the material. This report is informational and is not legal advice. It shows that identifiers matching your work are present in the named public research datasets; it does not establish how any particular company used them. If you are the subject of this page and want it removed, see removals.