Report VannakSnaeh built from the datasets alone

Yes. VannakSnaeh has 6 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 6

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 Mjas Klin Nov Ty Na, I Love You More Than I Can Say (music only), Touk Kuy'Teav Jam Snaeh (music only)

AudioSet 6 videos, 6 rows

Mjas Klin Nov Ty Na

Clip 140s to 150s · Open clip on YouTube · Labels: Music

youtube_video 0CBTiTVMHTA · row unbalanced_train:0CBTiTVMHTA:140:150

AudioSetunbalanced_train

I Love You More Than I Can Say (music only)

Clip 60s to 70s · Open clip on YouTube · Labels: Singing, Music

youtube_video 5irglBTm_yM · row unbalanced_train:5irglBTm_yM:60:70

AudioSetunbalanced_train

Touk Kuy'Teav Jam Snaeh (music only)

Clip 220s to 230s · Open clip on YouTube · Labels: Music

youtube_video HlHfKG4BB8g · row unbalanced_train:HlHfKG4BB8g:220:230

AudioSetunbalanced_train

Mouse Love Rice - Panha (music only)

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

youtube_video K1tavrQlrJg · row unbalanced_train:K1tavrQlrJg:30:40

AudioSetunbalanced_train

Tang Yu Snaeh (Karaoke)

Clip 230s to 240s · Open clip on YouTube · Labels: Music, Inside, large room or hall

youtube_video P6232fXI_Do · row unbalanced_train:P6232fXI_Do:230:240

AudioSetunbalanced_train

Pleang (music only)

Clip 260s to 270s · Open clip on YouTube · Labels: Country, Music

youtube_video bl_mQL-e3nA · row unbalanced_train:bl_mQL-e3nA:260:270

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/vannaksnaeh-yt_UCfuUHLRih1QmUzk_JOKLO5Q

Provenance

JSON export SHA-256 7514335376b9a20474aef4e60187c5055d2da905571eb805826bc3783d86adff

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.