video 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 Techno Pond
Report Jake Clark built from the datasets alone
Yes. Jake Clark has 19 songs and 1 video 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:
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 where you are, it's your world, BLINK
Listed under the artist name 19 songs in LAION-DISCO-12M
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
where you are
Listed as Jake Clark – where you are (where you are) · Watch on YouTube
youtube_video 0CeBumS_v5o · row 0CeBumS_v5o
LAION-DISCO-12M
it's your world
Listed as Jake Clark, Landon Boyce – it's your world (it's your world) · Watch on YouTube
youtube_video 4wjFteUlSjw · row 4wjFteUlSjw
LAION-DISCO-12M
BLINK
Listed as Jake Clark – BLINK (BLINK) · Watch on YouTube
youtube_video 6ijxVOy_1Jg · row 6ijxVOy_1Jg
LAION-DISCO-12M
give you away (with Bella Lambert)
Listed as Jake Clark, Bella Lambert – give you away (with Bella Lambert) (give you away (with Bella Lambert)) · Watch on YouTube
youtube_video 7IceENiLZ_A · row 7IceENiLZ_A
LAION-DISCO-12M
deserve
Listed as Jake Clark – deserve (deserve) · Watch on YouTube
youtube_video FXaE0uxPSLs · row FXaE0uxPSLs
LAION-DISCO-12M
dark circles
Listed as Jake Clark – dark circles (dark circles) · Watch on YouTube
youtube_video HUG7HaYvKuU · row HUG7HaYvKuU
LAION-DISCO-12M
you dont see it
Listed as Jake Clark – you dont see it (you dont see it) · Watch on YouTube
youtube_video MDFWh9C9P1U · row MDFWh9C9P1U
LAION-DISCO-12M
OH NO!
Listed as Jake Clark – OH NO! (OH NO!) · Watch on YouTube
youtube_video Qu10_L7vTlU · row Qu10_L7vTlU
LAION-DISCO-12M
FAVORITE PART
Listed as Jake Clark – FAVORITE PART (FAVORITE PART) · Watch on YouTube
youtube_video Rkeo3DoYxuk · row Rkeo3DoYxuk
LAION-DISCO-12M
minutes with you
Listed as Jake Clark, Landon Boyce – minutes with you (minutes with you) · Watch on YouTube
youtube_video Tm_T10W5Mt0 · row Tm_T10W5Mt0
LAION-DISCO-12M
enough.
Listed as Jake Clark – enough. (enough.) · Watch on YouTube
youtube_video f3WtuH4F0Bg · row f3WtuH4F0Bg
LAION-DISCO-12M
abbie
Listed as Jake Clark – abbie (abbie) · Watch on YouTube
youtube_video o-Q3Mxy4ysQ · row o-Q3Mxy4ysQ
LAION-DISCO-12M
growing older means doing it without you
Listed as Jake Clark – growing older means doing it without you (growing older means doing it without you) · Watch on YouTube
youtube_video pFRh-OI9at0 · row pFRh-OI9at0
LAION-DISCO-12M
IMMA CATCH
Listed as Jake Clark, Nia Sioux – IMMA CATCH (IMMA CATCH) · Watch on YouTube
youtube_video pRq30Z3NBMc · row pRq30Z3NBMc
LAION-DISCO-12M
worst enemy
Listed as Jake Clark – worst enemy (worst enemy) · Watch on YouTube
youtube_video rnh466OFcN0 · row rnh466OFcN0
LAION-DISCO-12M
LA guys
Listed as Jake Clark – LA guys (LA guys) · Watch on YouTube
youtube_video uwI7REHNEJY · row uwI7REHNEJY
LAION-DISCO-12M
your person
Listed as Jake Clark – your person (your person) · Watch on YouTube
youtube_video wO6LOdpwqYM · row wO6LOdpwqYM
LAION-DISCO-12M
you'll always be home
Listed as Jake Clark – you'll always be home (you'll always be home) · Watch on YouTube
youtube_video wSDlSqawqQU · row wSDlSqawqQU
LAION-DISCO-12M
give you away
Listed as Jake Clark – give you away (give you away) · Watch on YouTube
youtube_video xqx-dJGoNk4 · row xqx-dJGoNk4
LAION-DISCO-12M
AudioSet 1 videos, 1 rows
Techno Pond
Clip 22s to 32s · Open clip on YouTube · Labels: Electronic music, Music, Techno
youtube_video 5pbvVlVzJhQ · row unbalanced_train:5pbvVlVzJhQ:22:32
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.
- DLA Piper: Creation of music with generative AI may be copyright infringement (GEMA v Suno, LG München I, 42 O 763/25), 2026-08-28
- Music Business Worldwide: Warner Music Group settles with Suno, strikes first-of-its-kind deal, 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
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.
- 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.
- 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.
Keep a copy
Provenance
JSON export SHA-256 2c80dc773a97f42df9e86781e56105c39748c3ab6eca7615dcae1226fcd7aaa4
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.