Report Sunil Anandatheertha built from the datasets alone

Yes. Sunil Anandatheertha has 7 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 7

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 Chembai and Yesudas Shiva Shiva Shiva enarAdA - 2 of 3, Excerpts in carnatic music. VEENA - shree raga tanam by emani shankara shastri, hamsadhwni swarakalpana by chembai and chowdiah-Excerpts in carnatic classical music

Used for testing 2

videos 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 Chembai and Yesudas Shiva Shiva Shiva enarAdA - 2 of 3, Excerpts in carnatic music. VEENA - shree raga tanam by emani shankara shastri

AudioSet 7 videos, 7 rows

Chembai and Yesudas Shiva Shiva Shiva enarAdA - 2 of 3

Clip 140s to 150s · Open clip on YouTube · Labels: Carnatic music, Music, Middle Eastern music, Classical music

youtube_video GHyUAl9Yaos · row balanced_train:GHyUAl9Yaos:140:150

AudioSetbalanced_train

Excerpts in carnatic music. VEENA - shree raga tanam by emani shankara shastri

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

youtube_video QKkhwAAGLIE · row eval:QKkhwAAGLIE:30:40

AudioSeteval

hamsadhwni swarakalpana by chembai and chowdiah-Excerpts in carnatic classical music

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

youtube_video AHHlyarkvvU · row unbalanced_train:AHHlyarkvvU:30:40

AudioSetunbalanced_train

Lullaby for sri krishna - composed by Sunil Anandatheertha

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

youtube_video S-tziy6Iv-Q · row unbalanced_train:S-tziy6Iv-Q:30:40

AudioSetunbalanced_train

Excerpts in carnatic music. VIOLIN by MSGopalakrishnan in Shiva shiva shiva (chembai and yesudas)

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

youtube_video Wi6O_5mK3bQ · row unbalanced_train:Wi6O_5mK3bQ:30:40

AudioSetunbalanced_train

Excerpts in carnatic classical music - hamsanandi tanam by Kumaresh and Jayanti Kumaresh

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

youtube_video uVPvMDH5Zwg · row unbalanced_train:uVPvMDH5Zwg:30:40

AudioSetunbalanced_train

Excerpts in carnatic music. VEENA - kaza subhashini sastry - pantuvarali tanam

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

youtube_video u_Miq8ZerxA · row unbalanced_train:u_Miq8ZerxA:30:40

AudioSetunbalanced_train

MusicCaps 2 videos, 2 rows

Chembai and Yesudas Shiva Shiva Shiva enarAdA - 2 of 3

“Two male vocalists sing this melodic Indian Classical music. The tempo is medium slow with Carnatic music accompaniments like violin, Ghatak and mridangam. The song is a good natured vocal duel between two carnatically trained vocalists. There is the sound of people cheering and clapping to the beat in the background.”

Clip 140s to 150s · Open clip on YouTube

youtube_video GHyUAl9Yaos · row GHyUAl9Yaos:140:150

MusicCaps

Excerpts in carnatic music. VEENA - shree raga tanam by emani shankara shastri

“A musician plays this classical instrumental. The tempo is medium with the musician playing a beautiful harmony using ragas with skill and dexterity with a tanpura accompaniment .The music is calming, complex, pleasant, classic and melodic.”

Clip 30s to 40s · Open clip on YouTube

youtube_video QKkhwAAGLIE · row QKkhwAAGLIE:30:40

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

Keep a copy

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Provenance

JSON export SHA-256 053aa00b7a04673e1a683df37a8f2b5c997494fccdeb5bb919d64799e42b0da4

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.