Yes. Kuldeep Amrit has 7 songs listed in a dataset used to train AI music models.

Used for training 7

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 Pcr, Sarpanchni, Naughty Saiyan (feat. Muskan Thakur)

Listed under the artist name 7 songs in LAION-DISCO-12M

Matched exactly: this YouTube Music artist id is the one the dataset lists these songs under.

Pcr

Listed as Kuldeep Amrit, Nonu Rana, Arun Amrit, Mahira Chaurasia – Pcr (Pcr) · Watch on YouTube

youtube_video -oVJFh9b-T4 · row -oVJFh9b-T4

LAION-DISCO-12M

Sarpanchni

Listed as Kuldeep Amrit – Sarpanchni (Sarpanchni) · Watch on YouTube

youtube_video 4VWlFsAZbL8 · row 4VWlFsAZbL8

LAION-DISCO-12M

Naughty Saiyan (feat. Muskan Thakur)

Listed as Kuldeep Amrit, Ashu Twinkle, Arun Amrit – Naughty Saiyan (feat. Muskan Thakur) (Naughty Saiyan) · Watch on YouTube

youtube_video AZpiuqrI7VE · row AZpiuqrI7VE

LAION-DISCO-12M

Gangwar (feat. Arun Amrit)

Listed as Kuldeep Amrit, Nonu Rana – Gangwar (feat. Arun Amrit) (Gangwar) · Watch on YouTube

youtube_video Pt8biG3Whjo · row Pt8biG3Whjo

LAION-DISCO-12M

Badmashi

Listed as Kuldeep Amrit, Nonu Rana, Arun Amrit, Sweta Chauhan – Badmashi (Badmashi) · Watch on YouTube

youtube_video _nXxr4Eajfc · row _nXxr4Eajfc

LAION-DISCO-12M

Kabzaa

Listed as Kuldeep Amrit, Nonu Rana, Arun Amrit, Sweta Chauhan – Kabzaa (Kabzaa) · Watch on YouTube

youtube_video yREmMgHoNgM · row yREmMgHoNgM

LAION-DISCO-12M

Dhara 304

Listed as Kuldeep Amrit, Nonu Rana – Dhara 304 (Dhara 304) · Watch on YouTube

youtube_video ywBCkN5oG2w · row ywBCkN5oG2w

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.

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

Is this you?

Check another name

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.