Report Musique4ever 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 DR.M.BALAMURALIKRISHNA - THILLANA, S.Varadarajan - Violin Solo - Raghunayaka - Hamsadhwani - Tyagaraja, Sarasijanabha (Thodi)
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 DR.M.BALAMURALIKRISHNA - THILLANA
Clip 80s to 90s · Open clip on YouTube · Labels: Singing, Carnatic music, Music, Musical instrument, Classical music, Percussion
youtube_video Emc18GpAeRY · row balanced_train:Emc18GpAeRY:80:90
AudioSetbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Musical instrument, Violin, fiddle
youtube_video 6G7hj4IJNX8 · row unbalanced_train:6G7hj4IJNX8:30:40
AudioSetunbalanced_train
Clip 140s to 150s · Open clip on YouTube · Labels: Carnatic music, Music, Classical music
youtube_video Aoeo4VBGqog · row unbalanced_train:Aoeo4VBGqog:140:150
AudioSetunbalanced_train
Clip 380s to 390s · Open clip on YouTube · Labels: Singing, Carnatic music, Music, Musical instrument
youtube_video JIxe2hINsqs · row unbalanced_train:JIxe2hINsqs:380:390
AudioSetunbalanced_train
Clip 240s to 250s · Open clip on YouTube · Labels: Singing, Carnatic music, Drum, Music, Musical instrument, Classical music
youtube_video LXJfAInEtiM · row unbalanced_train:LXJfAInEtiM:240:250
AudioSetunbalanced_train
“A male vocalist sings this traditional Carnatic vocals. The song is medium tempo with a violin accompaniment, tabla and mridangam playing percussion. The song is energetic and passionate and highlights the traditional Carnatic music art form. The audio quality is bad.”
Clip 80s to 90s · Open clip on YouTube
youtube_video Emc18GpAeRY · row Emc18GpAeRY:80:90
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 7762d6bb110867a7777fec9e194d1cf585486910495f8f2ed03d7aa846bf9589
| 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.