Report DaBlackSmokeMonster built from the datasets alone

Yes. DaBlackSmokeMonster has 5 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 5

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 Halo 3: ODST Soundtrack - The Light at the End.wmv, Halo 3: ODST Soundtrack - Special Delivery.wmv, Halo - Trace Amounts

AudioSet 5 videos, 5 rows

Halo 3: ODST Soundtrack - The Light at the End.wmv

Clip 360s to 370s · Open clip on YouTube · Labels: Music, Soundtrack music

youtube_video 54BTdx_TSbA · row unbalanced_train:54BTdx_TSbA:360:370

AudioSetunbalanced_train

Halo 3: ODST Soundtrack - Special Delivery.wmv

Clip 60s to 70s · Open clip on YouTube · Labels: Video game music, Music, Soundtrack music

youtube_video FBab1-S_UzQ · row unbalanced_train:FBab1-S_UzQ:60:70

AudioSetunbalanced_train

Halo - Trace Amounts

Clip 70s to 80s · Open clip on YouTube · Labels: Music

youtube_video L4uVrq9P9kI · row unbalanced_train:L4uVrq9P9kI:70:80

AudioSetunbalanced_train

Halo 3: ODST Soundtrack - Deference for Darkness

Clip 320s to 330s · Open clip on YouTube · Labels: Video game music, Music

youtube_video bPRe1I4uwcc · row unbalanced_train:bPRe1I4uwcc:320:330

AudioSetunbalanced_train

Halo 3: ODST Soundtrack - Asphalt and Ablution

Clip 300s to 310s · Open clip on YouTube · Labels: Music, Soundtrack music

youtube_video ucVh4cBg_VQ · row unbalanced_train:ucVh4cBg_VQ:300:310

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/dablacksmokemonster-yt_UC14OPTKr3rNw2bs9FxqqBIg

Provenance

JSON export SHA-256 3a4a052b32227c149a65371ecd3465a298d25bae9fd67039c0927cb5bbcb60e7

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.