Report Kay ElBlessing 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 Brother Henry and Agape Choir: Ghana/Nigerian gospel music Pentecostal fire,,Bun dem, Brother Henry and Agape Choir: Ghana/Nigeria gospel music, my God is good. Uche, Holy ghost fire, Patience-Agape Choir- Odo Pa; Ghana/nigeria gospel music, diana antwi, nii okai, sonnie badu
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 Brother Henry and Agape Choir: Ghana/Nigerian gospel music Pentecostal fire,,Bun dem
Clip 30s to 40s · Open clip on YouTube · Labels: Singing, Music, Tambourine, Vocal music
youtube_video wIP7AqIOU1s · row eval:wIP7AqIOU1s:30:40
AudioSeteval
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Pop music
youtube_video 0qMV_UQnyyA · row unbalanced_train:0qMV_UQnyyA:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Tender music
youtube_video 3RrKdRqVHdg · row unbalanced_train:3RrKdRqVHdg:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Gospel music, Music
youtube_video 6skyQCwd3a0 · row unbalanced_train:6skyQCwd3a0:30:40
AudioSetunbalanced_train
Clip 560s to 570s · Open clip on YouTube · Labels: Music, Rock and roll, Speech
youtube_video 75jF5XkGAvM · row unbalanced_train:75jF5XkGAvM:560:570
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Gospel music, Music
youtube_video AjqbV4_U9KE · row unbalanced_train:AjqbV4_U9KE:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Gospel music, Music
youtube_video hJbPdi__0y8 · row unbalanced_train:hJbPdi__0y8:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Christmas music, Music
youtube_video r6ZvqkOwuao · row unbalanced_train:r6ZvqkOwuao:30:40
AudioSetunbalanced_train
“A male vocalist sings this song. The tempo is medium with loud boomy singing.the audio quality is bad so the music and vocals are muffled. There are traces of tambourine beat, trumpet or some brass instrument,keyboard accompaniment, people talking, chanting and clapping. It is chaotic, confusing and noisy.”
Clip 30s to 40s · Open clip on YouTube
youtube_video wIP7AqIOU1s · row wIP7AqIOU1s: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 a3795928d875c929053b3175291fee3470cc2cac8d4f45506ad61954ed511742
| 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.