Report mazpratim 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 Final Fantasy XIII Music - Atonement/償い, Final Fantasy XIII Music - March of the Dreadnoughts/ドレッドンート大爆進！, Final Fantasy XIII Music - The Warpath Home/帰るための戦い
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 Final Fantasy XIII Music - Atonement/償い
Clip 30s to 40s · Open clip on YouTube · Labels: Background music, Theme music, Music, Sad music
youtube_video y_toDfeACWE · row eval:y_toDfeACWE:30:40
AudioSeteval
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video -4xAKlaoJEo · row unbalanced_train:-4xAKlaoJEo:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video -Sey_r3MLhc · row unbalanced_train:-Sey_r3MLhc:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video -V4PSom_hxw · row unbalanced_train:-V4PSom_hxw:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video -kdWRSrvAas · row unbalanced_train:-kdWRSrvAas:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Theme music, Funk, Music
youtube_video 0EJtpTt3x-M · row unbalanced_train:0EJtpTt3x-M:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Tender music
youtube_video 0O5I3YF4hw8 · row unbalanced_train:0O5I3YF4hw8:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 0Rls7NQSYc8 · row unbalanced_train:0Rls7NQSYc8:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 0k1kZ2U1z4c · row unbalanced_train:0k1kZ2U1z4c:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Angry music
youtube_video 0scPQsPC0uI · row unbalanced_train:0scPQsPC0uI:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 1cWDtJUNjRg · row unbalanced_train:1cWDtJUNjRg:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 2_xig9VGLio · row unbalanced_train:2_xig9VGLio:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 4G9GKHaK6g4 · row unbalanced_train:4G9GKHaK6g4:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 6Hcw6Y2UjLo · row unbalanced_train:6Hcw6Y2UjLo:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Sad music
youtube_video 8EJDQWzNQco · row unbalanced_train:8EJDQWzNQco:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Blues, Music
youtube_video 9db2LvxMKRI · row unbalanced_train:9db2LvxMKRI:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video AXBkgmE0UGE · row unbalanced_train:AXBkgmE0UGE:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video BDg99nO6RF4 · row unbalanced_train:BDg99nO6RF4:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video YvHhU98Ta6s · row unbalanced_train:YvHhU98Ta6s:30:40
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Music, Soundtrack music
youtube_video kUghLWswJk4 · row unbalanced_train:kUghLWswJk4:0:10
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video l_TYeaZebXc · row unbalanced_train:l_TYeaZebXc:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Tender music
youtube_video ol6TIPwcdow · row unbalanced_train:ol6TIPwcdow:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Tender music
youtube_video w4fpZrZzvXU · row unbalanced_train:w4fpZrZzvXU:30:40
AudioSetunbalanced_train
“The low quality recording features a classical song that consists of widely spread sustained strings melody and woodwind melody. It sounds vintage, calming and relaxing, like something you would hear in an easygoing movie scene.”
Clip 30s to 40s · Open clip on YouTube
youtube_video y_toDfeACWE · row y_toDfeACWE: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 ac94607b21887a1cc32c448610c87bf2fc2783af84912a666707e4d854b8175e
| 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.