Report guy wolff built from the datasets alone

Yes. guy wolff has 17 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 17

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 Old Ground Hog, FOX ON THE RUN, GOWER WASSAIL

Used for testing 1

video in MusicCaps

A set of 5,521 ten-second music clips from YouTube, each with a written description, that Google published in 2023. It is the standard test set for text-to-music models.

Including Old Ground Hog

AudioSet 17 videos, 17 rows

Old Ground Hog

Clip 50s to 60s · Open clip on YouTube · Labels: Banjo, Guitar, Music, Mandolin, Musical instrument, Song, Bluegrass

youtube_video QK-mjNg8cPo · row eval:QK-mjNg8cPo:50:60

AudioSeteval

FOX ON THE RUN

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

youtube_video -9z4n6DdUt0 · row unbalanced_train:-9z4n6DdUt0:30:40

AudioSetunbalanced_train

GOWER WASSAIL

Clip 60s to 70s · Open clip on YouTube · Labels: Singing, Guitar, Music, Musical instrument, Plucked string instrument

youtube_video 41WGnTbJGMY · row unbalanced_train:41WGnTbJGMY:60:70

AudioSetunbalanced_train

COLORED ARISTOCRACY

Clip 70s to 80s · Open clip on YouTube · Labels: Banjo, Country, Music, Musical instrument, Plucked string instrument

youtube_video 4CVPZN0FNGo · row unbalanced_train:4CVPZN0FNGo:70:80

AudioSetunbalanced_train

The Rambling Hobo

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

youtube_video 9DMHDS443_E · row unbalanced_train:9DMHDS443_E:30:40

AudioSetunbalanced_train

Cluck Old Hen gCGCD+2 D Clawhammer Banjo

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

youtube_video 9nMlpUzmLVg · row unbalanced_train:9nMlpUzmLVg:30:40

AudioSetunbalanced_train

The Blackest Crow / Banjo

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

youtube_video BRq919h4bSQ · row unbalanced_train:BRq919h4bSQ:30:40

AudioSetunbalanced_train

Pretty Little Dog / Cold & Frosty Morning

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

youtube_video D0tAZ9lacbw · row unbalanced_train:D0tAZ9lacbw:30:40

AudioSetunbalanced_train

A Long Time Traveling / Clawhammer 1880's Dobson

Clip 290s to 300s · Open clip on YouTube · Labels: Banjo, Music, Musical instrument, Plucked string instrument

youtube_video FhInAl5eWog · row unbalanced_train:FhInAl5eWog:290:300

AudioSetunbalanced_train

The House Carpenter / Clawhammer

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

youtube_video KezxhwSqoWU · row unbalanced_train:KezxhwSqoWU:30:40

AudioSetunbalanced_train

Old Joe Clark

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

youtube_video LLrkqT4diVM · row unbalanced_train:LLrkqT4diVM:30:40

AudioSetunbalanced_train

Turkey In The Straw

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

youtube_video V5ODmR3phmU · row unbalanced_train:V5ODmR3phmU:30:40

AudioSetunbalanced_train

My Grandfather's Clock / 1880's Dobson Banjo

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

youtube_video WEcKghvLXio · row unbalanced_train:WEcKghvLXio:30:40

AudioSetunbalanced_train

The Blackest Crow

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

youtube_video ZbT2-bGU2Y0 · row unbalanced_train:ZbT2-bGU2Y0:30:40

AudioSetunbalanced_train

Waterbound / Rambling Hobo Tuning / Clawhammer

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

youtube_video epBZHJpx6wU · row unbalanced_train:epBZHJpx6wU:30:40

AudioSetunbalanced_train

CLUCK OLD HEN IN E flat

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

youtube_video hQXeiu_TlF0 · row unbalanced_train:hQXeiu_TlF0:30:40

AudioSetunbalanced_train

John Barleycorn

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

youtube_video vxv7WAh0YE8 · row unbalanced_train:vxv7WAh0YE8:30:40

AudioSetunbalanced_train

MusicCaps 1 videos, 1 rows

Old Ground Hog

“This is an American folk music piece. There is a male vocalist singing in the folk style. The banjo is playing a cheerful melody at a steady tempo. The atmosphere of the piece is cozy and easygoing. This piece could be playing in the background at a roadside diner. It could also be included in the soundtrack of a movie or a TV show taking place in rural USA.”

Clip 50s to 60s · Open clip on YouTube

youtube_video QK-mjNg8cPo · row QK-mjNg8cPo:50:60

MusicCaps

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/guy-wolff-yt_UCURc2---dYEDWWpVWRzebxA

Provenance

JSON export SHA-256 3e0953e10c21fea01d943bb3f9fe7e6a96a800d737c43eafef7d3ce3408cd2a1

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.