Yes. Dinesh Thakor has 156 songs listed in a dataset used to train AI music models.

Used for training 156

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 Jobuda ni dal ma Olo Eklo, Vaishakh Ma Lidha Lagan, Laadi Leva Jaavu

Listed under the artist name 156 songs in LAION-DISCO-12M

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

Jobuda ni dal ma Olo Eklo

Listed as Vishnu Thakor, Dinesh Thakor, Prakash Thakor – Jobuda ni dal ma Olo Eklo (Jobuda ni dal ma Olo Eklo) · Watch on YouTube

youtube_video J7WBhSNqQhA · row J7WBhSNqQhA

LAION-DISCO-12M

Vaishakh Ma Lidha Lagan

Listed as Dinesh Thakor, Bhaluji Thakor – Vaishakh Ma Lidha Lagan (Vaishakh Ma Lidha Lagan) · Watch on YouTube

youtube_video KKFsDh4hkz0 · row KKFsDh4hkz0

LAION-DISCO-12M

Laadi Leva Jaavu

Listed as Dinesh Thakor, Savita Dabhi – Laadi Leva Jaavu (Laadi Leva Jaavu) · Watch on YouTube

youtube_video Lo6IDwqUff4 · row Lo6IDwqUff4

LAION-DISCO-12M

Thakor Na Lagan Aaya

Listed as Dinesh Thakor, Shailesh Thakor, Ganesh Thakor – Thakor Na Lagan Aaya (Thakor Na Lagan Aaya) · Watch on YouTube

youtube_video P22oieEGjg4 · row P22oieEGjg4

LAION-DISCO-12M

Jagti Jogamaya

Listed as Dinesh Thakor, Dilip Thakor – Jagti Jogamaya (Jagti Jogamaya) · Watch on YouTube

youtube_video aVgW_d-I_gs · row aVgW_d-I_gs

LAION-DISCO-12M

Dhola Bangadi Lai Aalo DJ Remix

Listed as Dinesh Thakor, Reshma Thakor – Dhola Bangadi Lai Aalo DJ Remix (Dhola Bangadi Lai Aalo DJ Remix) · Watch on YouTube

youtube_video riddpffMr_c · row riddpffMr_c

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.