Report Alam Noori Al Sureshwari built from the datasets alone

Yes. Alam Noori Al Sureshwari has 3 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 3

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 মুজাচ্ছাম নূরমে ডুবা হুয়া চেহরা মোহাম্মাদ কা।নাদিম কাওয়াল।Mujacham Noorma Duba Huya Chahra Mohammad, আগার ইয়ার হো তো হাম। নাদিম কাওয়াল। Agar Yar Ho To Hum। Nadim Qawwal। Quwal। Sureshwar Darbar Sharif, ইয়া রাসুলআল্লাহ। নাদিম কাওয়াল। Ya Rasulallah। Nadim Quwal। Quwali। Sureshwar Darbar Sharif

AudioSet 3 videos, 3 rows

মুজাচ্ছাম নূরমে ডুবা হুয়া চেহরা মোহাম্মাদ কা।নাদিম কাওয়াল।Mujacham Noorma Duba Huya Chahra Mohammad

Clip 510s to 520s · Open clip on YouTube · Labels: Tabla, Music, Musical instrument, Middle Eastern music, Speech

youtube_video JoL1nVbqYFg · row unbalanced_train:JoL1nVbqYFg:510:520

AudioSetunbalanced_train

আগার ইয়ার হো তো হাম। নাদিম কাওয়াল। Agar Yar Ho To Hum। Nadim Qawwal। Quwal। Sureshwar Darbar Sharif

Clip 230s to 240s · Open clip on YouTube · Labels: Singing, Music, Middle Eastern music

youtube_video _UdoEiwfZz8 · row unbalanced_train:_UdoEiwfZz8:230:240

AudioSetunbalanced_train

ইয়া রাসুলআল্লাহ। নাদিম কাওয়াল। Ya Rasulallah। Nadim Quwal। Quwali। Sureshwar Darbar Sharif

Clip 360s to 370s · Open clip on YouTube · Labels: Singing, Music, Middle Eastern music

youtube_video udxK0QSCL_g · row unbalanced_train:udxK0QSCL_g:360:370

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/alam-noori-al-sureshwari-yt_UCy2r16Fkd0JRKJUhzWBEzRQ

Provenance

JSON export SHA-256 48f0beb072f2cd7607db0e9f1a32ef554d24f843c285ed27a7badf0909efec9c

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.