Report ZAGGTV built from the datasets alone
This page only knows about the videos the datasets list. To check every upload on the channel:
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 HZO Water Blocking Technology Demo, InvisibleShield Glass Luxe Screen Protection | ZAGG, ZAGG invisibleSHIELD® iPad® mini Scratch Test
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 HZO Water Blocking Technology Demo
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Gurgling
youtube_video zjsWFvUkh7M · row eval:zjsWFvUkh7M:30:40
AudioSeteval
Clip 21s to 31s · Open clip on YouTube · Labels: Music
youtube_video G1gQpWrluK4 · row unbalanced_train:G1gQpWrluK4:21:31
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video Nmp0hI2L85U · row unbalanced_train:Nmp0hI2L85U:30:40
AudioSetunbalanced_train
Clip 29s to 39s · Open clip on YouTube · Labels: Music, Speech
youtube_video Qf9S8olu1QQ · row unbalanced_train:Qf9S8olu1QQ:29:39
AudioSetunbalanced_train
“A male vocalist sings this energetic song. The tempo is fast with enthusiastic drumming , rhythmic electric and keyboard harmony. The song is muffled because of poor audio quality and several sounds that are superimposed on it. There are sounds of water, static, bubbles, scuffling and a female voice speaking. The song is incoherent but from what can be heard it sounds like Pop Rock.”
Clip 30s to 40s · Open clip on YouTube
youtube_video zjsWFvUkh7M · row zjsWFvUkh7M:30:40
MusicCaps
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.
3 routes. None is a guarantee.
JSON export SHA-256 f1100b85c65a972a44ac622d09c597f55b2f80d72184cc05d92ff921280bf31e
| 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.