Report Turbinas2mil built from the datasets alone

Yes. Turbinas2mil has 16 videos listed in datasets used to train and test AI models.

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

Used for training and testing 16

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 Ajja vs Flooting Grooves - Liquid Matter, Atma - Beat Generation, Magneto - Push The Shock

AudioSet 16 videos, 16 rows

Ajja vs Flooting Grooves - Liquid Matter

Clip 30s to 40s · Open clip on YouTube · Labels: Music

youtube_video 01ro1Rb2f9E · row unbalanced_train:01ro1Rb2f9E:30:40

AudioSetunbalanced_train

Atma - Beat Generation

Clip 200s to 210s · Open clip on YouTube · Labels: Electronic music, Music, Trance music, Speech

youtube_video 1e-0diIdsKU · row unbalanced_train:1e-0diIdsKU:200:210

AudioSetunbalanced_train

Magneto - Push The Shock

Clip 180s to 190s · Open clip on YouTube · Labels: Music, Electronic dance music

youtube_video 6O7oXcPQznM · row unbalanced_train:6O7oXcPQznM:180:190

AudioSetunbalanced_train

Tryambaka - I Saw Your Saw (Sick Addiction Rmx)

Clip 340s to 350s · Open clip on YouTube · Labels: Music

youtube_video Bn5JLAiWUG4 · row unbalanced_train:Bn5JLAiWUG4:340:350

AudioSetunbalanced_train

Technodrome - Green Species

Clip 0s to 10s · Open clip on YouTube · Labels: Electronic music, Music, Trance music

youtube_video Erd3DYgYGdE · row unbalanced_train:Erd3DYgYGdE:0:10

AudioSetunbalanced_train

Angry Luna - Lift Off

Clip 450s to 460s · Open clip on YouTube · Labels: Electronic music, Music

youtube_video H2Ngv5JZlUY · row unbalanced_train:H2Ngv5JZlUY:450:460

AudioSetunbalanced_train

Tickets - Power of Fear

Clip 180s to 190s · Open clip on YouTube · Labels: Electronic music, Music, Trance music, Sound effect

youtube_video Q-xoeONwXlc · row unbalanced_train:Q-xoeONwXlc:180:190

AudioSetunbalanced_train

Slug - Encoded (On Rmx)

Clip 20s to 30s · Open clip on YouTube · Labels: Electronic music, Music, Trance music

youtube_video R-cgFuQ7Ato · row unbalanced_train:R-cgFuQ7Ato:20:30

AudioSetunbalanced_train

Azax Syndrom vs Toxic - Rain

Clip 30s to 40s · Open clip on YouTube · Labels: Music

youtube_video RZLe1W4UIVE · row unbalanced_train:RZLe1W4UIVE:30:40

AudioSetunbalanced_train

Materia vs Illicit - Rake Contact

Clip 60s to 70s · Open clip on YouTube · Labels: Electronic music, Music, Electronica

youtube_video UXMe3vSMStk · row unbalanced_train:UXMe3vSMStk:60:70

AudioSetunbalanced_train

DigitalX - No Pulse

Clip 70s to 80s · Open clip on YouTube · Labels: Electronic music, Music, Trance music

youtube_video XAXLFV4hp7w · row unbalanced_train:XAXLFV4hp7w:70:80

AudioSetunbalanced_train

Bliss - Final Cut (Painkiller Rmx)

Clip 220s to 230s · Open clip on YouTube · Labels: Music, Electronica

youtube_video XZl7vFJGqWM · row unbalanced_train:XZl7vFJGqWM:220:230

AudioSetunbalanced_train

Mimic Vat - Shaman Rat

Clip 390s to 400s · Open clip on YouTube · Labels: Electronic music, Music

youtube_video rS0Y4P19N54 · row unbalanced_train:rS0Y4P19N54:390:400

AudioSetunbalanced_train

Crazy Astronaut vs Whoop - Absolute Energy

Clip 30s to 40s · Open clip on YouTube · Labels: Music

youtube_video xKUQX9wWRfw · row unbalanced_train:xKUQX9wWRfw:30:40

AudioSetunbalanced_train

Magneto - Origins (Album Edit)

Clip 370s to 380s · Open clip on YouTube · Labels: Electronic music, Music, Techno

youtube_video ymGAWvf_aK4 · row unbalanced_train:ymGAWvf_aK4:370:380

AudioSetunbalanced_train

Kindzadza vs Highko vs Electrypnose - Between Cool And Wicked

Clip 0s to 10s · Open clip on YouTube · Labels: Music

youtube_video zF2ztLJSfug · row unbalanced_train:zF2ztLJSfug:0:10

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/turbinas2mil-yt_UCXXlk8ZNY7NBN6dPB75L1WA

Provenance

JSON export SHA-256 3f9c0a169ffc6b0b60afd7e2d6e2bf9a0d3fdefc63943edf5667ee8ad8583179

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.