Report Matthew Vaughan built from the datasets alone

Yes. Matthew Vaughan has 38 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 38

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 Rise Up Singing: I Don't Want Your Millions, Mister, Rise Up Singing: By the Light of the Silvery Moon, Rise Up Singing: My Land is a Good Land

AudioSet 38 videos, 38 rows

Rise Up Singing: I Don't Want Your Millions, Mister

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

youtube_video -0k1YFyaSkU · row unbalanced_train:-0k1YFyaSkU:30:40

AudioSetunbalanced_train

Rise Up Singing: By the Light of the Silvery Moon

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

youtube_video -DKghhL0Hgc · row unbalanced_train:-DKghhL0Hgc:30:40

AudioSetunbalanced_train

Rise Up Singing: My Land is a Good Land

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

youtube_video -GITxKIybi4 · row unbalanced_train:-GITxKIybi4:30:40

AudioSetunbalanced_train

Rise Up Singing: I'm a Little Teapot

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

youtube_video -IDihN35iqQ · row unbalanced_train:-IDihN35iqQ:30:40

AudioSetunbalanced_train

Rise Up Singing: We Shall Not Be Moved

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

youtube_video 0XVc-d4pbi4 · row unbalanced_train:0XVc-d4pbi4:30:40

AudioSetunbalanced_train

Rise Up Singing: Acres of Clams

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

youtube_video 0gEGM1NwjKk · row unbalanced_train:0gEGM1NwjKk:30:40

AudioSetunbalanced_train

Rise Up Singing: Scarborough Fair

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

youtube_video 0zArCCilSmU · row unbalanced_train:0zArCCilSmU:30:40

AudioSetunbalanced_train

Rise Up Singing: Why, Oh Why? (Woody Guthrie)

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

youtube_video 1KTb-2iVN3w · row unbalanced_train:1KTb-2iVN3w:30:40

AudioSetunbalanced_train

Rise Up Singing: If I Were a Feather Bed

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

youtube_video 1OyhNPUSwMg · row unbalanced_train:1OyhNPUSwMg:30:40

AudioSetunbalanced_train

Rise Up Singing: Old Joe Clark

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

youtube_video 1bBZWQULi5Y · row unbalanced_train:1bBZWQULi5Y:30:40

AudioSetunbalanced_train

Rise Up Singing: Little Brown Jug

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

youtube_video 2XCFddN1Dfg · row unbalanced_train:2XCFddN1Dfg:30:40

AudioSetunbalanced_train

Rise Up Singing: Die Gedanken Sind Frei

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

youtube_video 2pms_ubkddc · row unbalanced_train:2pms_ubkddc:30:40

AudioSetunbalanced_train

Rise Up Singing: Mary Hamilton

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

youtube_video 3ED7717_QuY · row unbalanced_train:3ED7717_QuY:30:40

AudioSetunbalanced_train

Lullaby for Christmas Eve (R.U.S. Christmas Bonus)

Clip 30s to 40s · Open clip on YouTube · Labels: Guitar, Acoustic guitar, Music, Musical instrument, Speech, Plucked string instrument

youtube_video 3nWGpwdO904 · row unbalanced_train:3nWGpwdO904:30:40

AudioSetunbalanced_train

Rise Up Singing: The Wheels on the Bus

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

youtube_video 3sGvqMTa9tc · row unbalanced_train:3sGvqMTa9tc:30:40

AudioSetunbalanced_train

Puff the Magic Dragon Guitar Chords

Clip 260s to 270s · Open clip on YouTube · Labels: Guitar, Acoustic guitar, Music, Musical instrument, Plucked string instrument

youtube_video 4DaF7BgjgN4 · row unbalanced_train:4DaF7BgjgN4:260:270

AudioSetunbalanced_train

Rise Up Singing: I've Got Sixpence

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

youtube_video 4sJ8W88Nbqg · row unbalanced_train:4sJ8W88Nbqg:30:40

AudioSetunbalanced_train

Rise Up Singing: Morningtown Ride

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

youtube_video 5BZgXdqxxQo · row unbalanced_train:5BZgXdqxxQo:30:40

AudioSetunbalanced_train

Rise Up Singing: Pick A Bale of Cotton

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

youtube_video 5J1YiwHywLQ · row unbalanced_train:5J1YiwHywLQ:30:40

AudioSetunbalanced_train

Rise Up Singing: Oats, Peas, Beans and Barley

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

youtube_video 6p37j0qr1mQ · row unbalanced_train:6p37j0qr1mQ:30:40

AudioSetunbalanced_train

Rise Up Singing: The Motorcycle Song

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

youtube_video DOERO7f651c · row unbalanced_train:DOERO7f651c:30:40

AudioSetunbalanced_train

The Water is Wide—ukulele

Clip 20s to 30s · Open clip on YouTube · Labels: Music, Musical instrument, Ukulele, Speech, Plucked string instrument

youtube_video DgEXgI6qCw0 · row unbalanced_train:DgEXgI6qCw0:20:30

AudioSetunbalanced_train

Robin in the Rain (R.U.S. Bonus)

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

youtube_video FfXkTTZkY7Q · row unbalanced_train:FfXkTTZkY7Q:30:40

AudioSetunbalanced_train

Rise Up Singing: If You Miss Me from the Back of the Bus

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

youtube_video FljVy_eBt0U · row unbalanced_train:FljVy_eBt0U:30:40

AudioSetunbalanced_train

Cluck, Cluck, Red Hen (R.U.S. Bonus)

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

youtube_video G3c2A3eAFuk · row unbalanced_train:G3c2A3eAFuk:30:40

AudioSetunbalanced_train

Rise Up Singing: The Little White Duck

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

youtube_video HTePb-qT4ms · row unbalanced_train:HTePb-qT4ms:30:40

AudioSetunbalanced_train

Rise Up Singing: I Had a Rooster

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

youtube_video Kp6XKnvrLQk · row unbalanced_train:Kp6XKnvrLQk:30:40

AudioSetunbalanced_train

Rise Up Singing: Grandfather's Clock

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

youtube_video QlX2uXST2yk · row unbalanced_train:QlX2uXST2yk:30:40

AudioSetunbalanced_train

Rise Up Singing: A Horse Named Bill

Clip 70s to 80s · Open clip on YouTube · Labels: Singing, Guitar, Acoustic guitar, Music, Musical instrument, Speech, Plucked string instrument

youtube_video TIVuSPybIcU · row unbalanced_train:TIVuSPybIcU:70:80

AudioSetunbalanced_train

Rise Up Singing: The Country Life

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

youtube_video VpgDqRcNKqM · row unbalanced_train:VpgDqRcNKqM:30:40

AudioSetunbalanced_train

Rise Up Singing: Do Re Mi (The Sound of Music)

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

youtube_video YpFf9KeIkqM · row unbalanced_train:YpFf9KeIkqM:30:40

AudioSetunbalanced_train

Anansi (R.U.S. Bonus)

Clip 190s to 200s · Open clip on YouTube · Labels: Guitar, Acoustic guitar, Music, Musical instrument, Speech, Plucked string instrument

youtube_video _0tiALveKmo · row unbalanced_train:_0tiALveKmo:190:200

AudioSetunbalanced_train

Simple Twist of Fate (Bob Dylan)

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

youtube_video aQnNE3cPySw · row unbalanced_train:aQnNE3cPySw:60:70

AudioSetunbalanced_train

Strumming Patterns for John Jacob Jingleheimer Schmidt

Clip 220s to 230s · Open clip on YouTube · Labels: Guitar, Acoustic guitar, Music, Musical instrument, Speech, Plucked string instrument, Inside, small room

youtube_video acLY77IGrCc · row unbalanced_train:acLY77IGrCc:220:230

AudioSetunbalanced_train

Rise Up Singing: The People Are Scratching

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

youtube_video hGakQA5lm2E · row unbalanced_train:hGakQA5lm2E:30:40

AudioSetunbalanced_train

Kreyòl Lullaby

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

youtube_video oPtRYzsZN9Y · row unbalanced_train:oPtRYzsZN9Y:30:40

AudioSetunbalanced_train

Rise Up Singing: Bhrams' Lullaby

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

youtube_video qWWKYRZvwbI · row unbalanced_train:qWWKYRZvwbI:30:40

AudioSetunbalanced_train

Isle au Haut Lullaby (Rise Up Singing)

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

youtube_video xHe8EuNFjSQ · row unbalanced_train:xHe8EuNFjSQ:30:40

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/matthew-vaughan-yt_UCUsxzdE2kaJqfr_hQfNay1Q

Provenance

JSON export SHA-256 dc429f1195a6479e65f7e1007fea7868e373f7de46628c5aac925bc7667b7a3c

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.