Report lelebaka 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 Last Christmas - Ukulele Solo Version, Tequila - Ukulele Solo Version, Mission Impossible - Ukulele Solo Version
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Ukulele
youtube_video -KoZq2_dKHA · row unbalanced_train:-KoZq2_dKHA:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Ukulele
youtube_video 4INNQeNtr04 · row unbalanced_train:4INNQeNtr04:30:40
AudioSetunbalanced_train
Clip 23s to 33s · Open clip on YouTube · Labels: Music, Ukulele
youtube_video DnwNKKb8a0o · row unbalanced_train:DnwNKKb8a0o:23:33
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Ukulele, Inside, small room
youtube_video GmwZ45d-aSc · row unbalanced_train:GmwZ45d-aSc:30:40
AudioSetunbalanced_train
Clip 16s to 26s · Open clip on YouTube · Labels: Music, Ukulele
youtube_video IbLsHjgpCVg · row unbalanced_train:IbLsHjgpCVg:16:26
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Guitar, Music, Ukulele
youtube_video Ikjv43Yc_wQ · row unbalanced_train:Ikjv43Yc_wQ:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Ukulele
youtube_video NvDL0QU2o1s · row unbalanced_train:NvDL0QU2o1s:30:40
AudioSetunbalanced_train
Clip 20s to 30s · Open clip on YouTube · Labels: Music, Ukulele
youtube_video SgatRvHLZSs · row unbalanced_train:SgatRvHLZSs:20:30
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Guitar, Music, Ukulele
youtube_video Wu-lL1j1nFY · row unbalanced_train:Wu-lL1j1nFY:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Guitar, Music, Ukulele
youtube_video aS-8_iRzkeY · row unbalanced_train:aS-8_iRzkeY:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Ukulele
youtube_video bvmsJsGFbWA · row unbalanced_train:bvmsJsGFbWA:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Inside, small room
youtube_video fA4TS82Okfg · row unbalanced_train:fA4TS82Okfg:30:40
AudioSetunbalanced_train
Clip 27s to 37s · Open clip on YouTube · Labels: Music, Ukulele
youtube_video kluPzWLFSPU · row unbalanced_train:kluPzWLFSPU:27:37
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video qYtu-rugrAw · row unbalanced_train:qYtu-rugrAw:30:40
AudioSetunbalanced_train
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 aa9d76d3b051ee134c36211ed646030f867b1f931ebd88e6e0cb43b687611bcb
| 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.