Report thuryina built from the datasets alone

Yes. thuryina has 21 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 21

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 GREAT BEENKARS-Swami Parvatikar-raag pilu pahadi., SOUNDS OF DAWN 1/2-ahir bhairav, GREAT SARODIAS-Vidushi Sharan Rani-raag jaunpuri.

Used for testing 1

video in MusicCaps

A set of 5,521 ten-second music clips from YouTube, each with a written description, that Google published in 2023. It is the standard test set for text-to-music models.

Including GREAT BEENKARS-Swami Parvatikar-raag pilu pahadi.

AudioSet 21 videos, 21 rows

GREAT BEENKARS-Swami Parvatikar-raag pilu pahadi.

Clip 50s to 60s · Open clip on YouTube · Labels: Tabla, Drum, Percussion

youtube_video YvT7qFbUOO0 · row balanced_train:YvT7qFbUOO0:50:60

AudioSetbalanced_train

SOUNDS OF DAWN 1/2-ahir bhairav

Clip 30s to 40s · Open clip on YouTube · Labels: Music

youtube_video -lqxFHxa6B8 · row unbalanced_train:-lqxFHxa6B8:30:40

AudioSetunbalanced_train

GREAT SARODIAS-Vidushi Sharan Rani-raag jaunpuri.

Clip 20s to 30s · Open clip on YouTube · Labels: Carnatic music, Music, Classical music

youtube_video 09deEZivapQ · row unbalanced_train:09deEZivapQ:20:30

AudioSetunbalanced_train

pt.parameshwara hegde -bandish in rag lalith

Clip 400s to 410s · Open clip on YouTube · Labels: Singing, Tabla, Music, Musical instrument

youtube_video 0Sx8cXGHVV8 · row unbalanced_train:0Sx8cXGHVV8:400:410

AudioSetunbalanced_train

pt.venkateshkumar-kannada song in rag bhairavi2/2

Clip 260s to 270s · Open clip on YouTube · Labels: Tabla, Drum, Percussion

youtube_video 9qx2KdEdKhQ · row unbalanced_train:9qx2KdEdKhQ:260:270

AudioSetunbalanced_train

Raag Madhuvanthi-Ustad Rashid Khan

Clip 10s to 20s · Open clip on YouTube · Labels: Carnatic music, Music

youtube_video E0ib_q5otj0 · row unbalanced_train:E0ib_q5otj0:10:20

AudioSetunbalanced_train

pandita kalapini komkali-nirguni bhajan

Clip 220s to 230s · Open clip on YouTube · Labels: Music, Inside, large room or hall

youtube_video FAst27LuSUI · row unbalanced_train:FAst27LuSUI:220:230

AudioSetunbalanced_train

PT.VENKATESH KUMAR-raag deshkar

Clip 20s to 30s · Open clip on YouTube · Labels: Singing, Carnatic music, Tabla, Music, Musical instrument

youtube_video HJ_9azvwpO8 · row unbalanced_train:HJ_9azvwpO8:20:30

AudioSetunbalanced_train

Percussion jugalbandi-pt.bhavani shankar on pakhawaz and pt.shubhankar banerji on tabla-excerpt 4

Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech

youtube_video KiIBrusHPdI · row unbalanced_train:KiIBrusHPdI:30:40

AudioSetunbalanced_train

Pt.Nikhil Banerjee-raag bhoop kalyan

Clip 30s to 40s · Open clip on YouTube · Labels: Music, Sitar

youtube_video OGpQkfZdes4 · row unbalanced_train:OGpQkfZdes4:30:40

AudioSetunbalanced_train

Trilochan kampli-gat and chakradar

Clip 120s to 130s · Open clip on YouTube · Labels: Tabla, Music, Musical instrument, Percussion

youtube_video PTPTeH36Ztg · row unbalanced_train:PTPTeH36Ztg:120:130

AudioSetunbalanced_train

pt.anand badamikar-tabla solo-sawan ka varnan

Clip 100s to 110s · Open clip on YouTube · Labels: Carnatic music, Tabla, Music, Musical instrument, Speech, Classical music, Percussion

youtube_video TuvY3zh7Rc4 · row unbalanced_train:TuvY3zh7Rc4:100:110

AudioSetunbalanced_train

ustad amir khan-- bandish beautiful-gujri todi

Clip 30s to 40s · Open clip on YouTube · Labels: Carnatic music, Music

youtube_video YJhLGRbmofw · row unbalanced_train:YJhLGRbmofw:30:40

AudioSetunbalanced_train

THE COLOURS OF YAMAN-16 vidwan shankar mahadevan and ustad rashid khan excerpt 2

Clip 580s to 590s · Open clip on YouTube · Labels: Singing, Carnatic music, Music

youtube_video _hxtWxQYc0A · row unbalanced_train:_hxtWxQYc0A:580:590

AudioSetunbalanced_train

ustad amir khan-ramdasi malhar

Clip 80s to 90s · Open clip on YouTube · Labels: Carnatic music, Music, Classical music

youtube_video aNmnRCbYGH4 · row unbalanced_train:aNmnRCbYGH4:80:90

AudioSetunbalanced_train

basavanna's vachana in hindi-vijay kumar patil

Clip 240s to 250s · Open clip on YouTube · Labels: Tabla, Drum, Percussion

youtube_video de_9eAT368k · row unbalanced_train:de_9eAT368k:240:250

AudioSetunbalanced_train

Vidushi Ashwini Bhide Deshpande-raag lalith part 2

Clip 420s to 430s · Open clip on YouTube · Labels: Carnatic music, Tabla, Music, Musical instrument

youtube_video ee9GZKL_VGo · row unbalanced_train:ee9GZKL_VGo:420:430

AudioSetunbalanced_train

PT.JAYATHEERTHA MEVUNDI-PURIYA DHANASHRI PART 1/3

Clip 520s to 530s · Open clip on YouTube · Labels: Tabla, Drum, Percussion

youtube_video hPgW5HWxQj4 · row unbalanced_train:hPgW5HWxQj4:520:530

AudioSetunbalanced_train

GREAT SITAR MAESTROS-Pt.Manilal Nag -raag bilaskhani todi.

Clip 120s to 130s · Open clip on YouTube · Labels: Music, Musical instrument, Sitar

youtube_video kXG9dwD-fIA · row unbalanced_train:kXG9dwD-fIA:120:130

AudioSetunbalanced_train

GREAT STRINGS-pt.manilal nag-raag ahir lalit 1/2

Clip 30s to 40s · Open clip on YouTube · Labels: Music, Sitar

youtube_video uvF_NVg3IV0 · row unbalanced_train:uvF_NVg3IV0:30:40

AudioSetunbalanced_train

GREATS TOGETHER-Pt.Anant Lal and Pt.Debu Choudhury-raag bhairavi

Clip 160s to 170s · Open clip on YouTube · Labels: Music, Musical instrument, Sitar

youtube_video ysO-KZ3RJEQ · row unbalanced_train:ysO-KZ3RJEQ:160:170

AudioSetunbalanced_train

MusicCaps 1 videos, 1 rows

GREAT BEENKARS-Swami Parvatikar-raag pilu pahadi.

“In this recording we hear two main instruments - the sitar and the tabla. The sitar player plays some simple and slow licks, in an emotive way. The tabla player plays a simple rhythm to support the sitar. The recording is an old recording - and this is a vintage south asian music piece.”

Clip 50s to 60s · Open clip on YouTube

youtube_video YvT7qFbUOO0 · row YvT7qFbUOO0:50:60

MusicCaps

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

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Provenance

JSON export SHA-256 c6f28caacf01edb8e9f1c7bf444a091ff6eb8f7525c10e21499eac2af1d647b4

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.