Report Vrana1935 built from the datasets alone

Yes. Vrana1935 has 10 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 10

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 Heligonka archiv Setkání v Lošticích 2007, 19 Lesňanská heligonka Matúš Hodás, Heligonka, Lúky 2010 - Chládkovci ze Sučan.mp4

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 Heligonka archiv Setkání v Lošticích 2007

AudioSet 10 videos, 10 rows

Heligonka archiv Setkání v Lošticích 2007

Clip 390s to 400s · Open clip on YouTube · Labels: Accordion

youtube_video r4JRDHYukZ4 · row balanced_train:r4JRDHYukZ4:390:400

AudioSetbalanced_train

19 Lesňanská heligonka Matúš Hodás

Clip 110s to 120s · Open clip on YouTube · Labels: Traditional music, Music, Musical instrument, Accordion

youtube_video ABUtGxAwfK0 · row unbalanced_train:ABUtGxAwfK0:110:120

AudioSetunbalanced_train

Heligonka, Lúky 2010 - Chládkovci ze Sučan.mp4

Clip 0s to 10s · Open clip on YouTube · Labels: Music, Male speech, man speaking, Speech

youtube_video VL_92dC4y30 · row unbalanced_train:VL_92dC4y30:0:10

AudioSetunbalanced_train

Heligonka, Festival heligónky SEREĎ 2011, Lukáš Hofman

Clip 450s to 460s · Open clip on YouTube · Labels: Traditional music, Music, Musical instrument, Accordion

youtube_video WvqbsopN7JE · row unbalanced_train:WvqbsopN7JE:450:460

AudioSetunbalanced_train

Heligonka, 23 setkání v Rožnově pod Radhoštěm, 1 část

Clip 170s to 180s · Open clip on YouTube · Labels: Singing, Music, Musical instrument, Accordion

youtube_video dP1cX1xJv44 · row unbalanced_train:dP1cX1xJv44:170:180

AudioSetunbalanced_train

Heligonka, Teče voda teče v podání Libuše Slimáčkové.mp4

Clip 200s to 210s · Open clip on YouTube · Labels: Traditional music, Music, Musical instrument, Accordion

youtube_video iD1EvSntOKg · row unbalanced_train:iD1EvSntOKg:200:210

AudioSetunbalanced_train

Heligonky zn Duraj Hlaváček Stanček v podání Pavla Hlavačáka, Andreje Petö a Jiřího Michny

Clip 360s to 370s · Open clip on YouTube · Labels: Music, Musical instrument, Accordion

youtube_video lbJmV4NRjLQ · row unbalanced_train:lbJmV4NRjLQ:360:370

AudioSetunbalanced_train

Heligonka, Lesňanská heligonka 2011, 14 ročník 3 část

Clip 570s to 580s · Open clip on YouTube · Labels: Traditional music, Music, Musical instrument, Accordion

youtube_video q7XST7tHX6I · row unbalanced_train:q7XST7tHX6I:570:580

AudioSetunbalanced_train

Heligonka Jiří Hampl Heligónka spieva 2014

Clip 550s to 560s · Open clip on YouTube · Labels: Music, Musical instrument, Accordion

youtube_video uHP64j9OKmo · row unbalanced_train:uHP64j9OKmo:550:560

AudioSetunbalanced_train

Heligonka Archiv 15 setkání Rožnov pod R 2003 část 4

Clip 460s to 470s · Open clip on YouTube · Labels: Accordion

youtube_video xIn1VVPIjY0 · row unbalanced_train:xIn1VVPIjY0:460:470

AudioSetunbalanced_train

MusicCaps 1 videos, 1 rows

Heligonka archiv Setkání v Lošticích 2007

“A male singer sings this emotional melody. The song is medium tempo with a steady drumming rhythm, accordion accompaniment and people singing together in unison. The song is emotional and sentimental. The song audio quality is poor.”

Clip 390s to 400s · Open clip on YouTube

youtube_video r4JRDHYukZ4 · row r4JRDHYukZ4:390:400

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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Share this page https://youtrained.com/r/vrana1935-yt_UCiHJ4PyAypajlwZrMiXiUZw

Provenance

JSON export SHA-256 17d498778e92f0c22afb974303a35992b9604d2456d7115dabd1f4c38f8b723b

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.