Report Krymefamily2 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 BUSY SIGNAL - REAL GENERAL (JUICY RIDDIM) SUPA HYPE 007-UPT [MARCH 2012], Alkaline Diss Busy Signal, Bounty Killer, Sean Paul,JOP, Kiprich,Beenie|Price Pan Dem Head|2014, MOVIN' FEVA RIDDIM MIX (navino, tarrus riley, busy signal & others) March 2012 - Dj Notnice
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 BUSY SIGNAL - REAL GENERAL (JUICY RIDDIM) SUPA HYPE 007-UPT [MARCH 2012]
Clip 30s to 40s · Open clip on YouTube · Labels: Afrobeat, Music of Africa, Music, Rapping, Hip hop music
youtube_video 8MKemM0h5mE · row eval:8MKemM0h5mE:30:40
AudioSeteval
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 0sNK9o_Aflk · row unbalanced_train:0sNK9o_Aflk:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video BU0U3Baw7EY · row unbalanced_train:BU0U3Baw7EY:30:40
AudioSetunbalanced_train
Clip 40s to 50s · Open clip on YouTube · Labels: Afrobeat, Music
youtube_video E2ob7mt2nIg · row unbalanced_train:E2ob7mt2nIg:40:50
AudioSetunbalanced_train
Clip 60s to 70s · Open clip on YouTube · Labels: Music, Reggae
youtube_video EFG8X_hxXa8 · row unbalanced_train:EFG8X_hxXa8:60:70
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video _fGCYw9l6QE · row unbalanced_train:_fGCYw9l6QE:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video qZ8ltoESFaI · row unbalanced_train:qZ8ltoESFaI:30:40
AudioSetunbalanced_train
Clip 10s to 20s · Open clip on YouTube · Labels: Afrobeat, Music of Africa
youtube_video uk8Y7ztgm9U · row unbalanced_train:uk8Y7ztgm9U:10:20
AudioSetunbalanced_train
Clip 110s to 120s · Open clip on YouTube · Labels: Music
youtube_video wookR9RhX8Q · row unbalanced_train:wookR9RhX8Q:110:120
AudioSetunbalanced_train
“The Afrobeats song features a flat male vocal, supported by male ad libs in the right channel of the stereo image, rapping over punchy kicks, muffled claps, syncopated snare hits and pulsating synth pad chords. At the very end of the loop there is a short snippet of groovy synth bass, as the section changes. It sounds lower in quality mainly because of the bad sound selection, as the instruments are too thin and too digital.”
Clip 30s to 40s · Open clip on YouTube
youtube_video 8MKemM0h5mE · row 8MKemM0h5mE: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 6af187ddf3917e6a17a51ab4ca15278f7291a3030f5363da05e4c6462fd8926e
| 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.