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 WHITE (SEIMEI Remix), BLACK, WHITE (Intro)
Artist Hiroyuki Arakawa on YouTube Music
Yes. Hiroyuki Arakawa has 9 songs listed in a dataset used to train AI music models.
Listed under the artist name 9 songs in LAION-DISCO-12M
Matched exactly: this YouTube Music artist id is the one the dataset lists these songs under.
WHITE (SEIMEI Remix)
Listed as Ken Ishii, Hiroyuki Arakawa – WHITE (SEIMEI Remix) (WHITE and BLACK) · Watch on YouTube
youtube_video 1nDUI9WoOOY · row 1nDUI9WoOOY
LAION-DISCO-12M
BLACK
Listed as Ken Ishii, Hiroyuki Arakawa – BLACK (WHITE and BLACK) · Watch on YouTube
youtube_video 3bCD5hMPSzs · row 3bCD5hMPSzs
LAION-DISCO-12M
WHITE (Intro)
Listed as Ken Ishii, Hiroyuki Arakawa – WHITE (Intro) (WHITE and BLACK) · Watch on YouTube
youtube_video KkoSqHsi-WM · row KkoSqHsi-WM
LAION-DISCO-12M
WHITE (BEROSHIMA a.k.a Frank Muller Remix)
Listed as Ken Ishii, Hiroyuki Arakawa – WHITE (BEROSHIMA a.k.a Frank Muller Remix) (WHITE and BLACK) · Watch on YouTube
youtube_video MC3eSqK4L94 · row MC3eSqK4L94
LAION-DISCO-12M
WHITE (Hiroshi Watanabe Remix)
Listed as Ken Ishii, Hiroyuki Arakawa – WHITE (Hiroshi Watanabe Remix) (WHITE and BLACK) · Watch on YouTube
youtube_video PfnXDwfzeoc · row PfnXDwfzeoc
LAION-DISCO-12M
WHITE
Listed as Ken Ishii, Hiroyuki Arakawa – WHITE (WHITE and BLACK) · Watch on YouTube
youtube_video UnZEqJdgs3I · row UnZEqJdgs3I
LAION-DISCO-12M
WHITE (Chrumi Remix)
Listed as Ken Ishii, Hiroyuki Arakawa – WHITE (Chrumi Remix) (WHITE and BLACK) · Watch on YouTube
youtube_video gOJftQozvMY · row gOJftQozvMY
LAION-DISCO-12M
BLACK (Risa Taniguchi Remix)
Listed as Ken Ishii, Hiroyuki Arakawa – BLACK (Risa Taniguchi Remix) (WHITE and BLACK) · Watch on YouTube
youtube_video isMBz-vU7Lc · row isMBz-vU7Lc
LAION-DISCO-12M
BLACK (Herbalistek Remix)
Listed as Ken Ishii, Hiroyuki Arakawa – BLACK (Herbalistek Remix) (WHITE and BLACK) · Watch on YouTube
youtube_video uvyogxk2lUQ · row uvyogxk2lUQ
LAION-DISCO-12M
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.
Is this you?
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. If you are this artist and want this page removed, see removals.