Report DeepMindRelaxation 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 40 min of Relaxation Music - Venus Meditation - healing sound and fractal visualisation, Beautiful Chinese Music - flute dizi guzheng erhu drums and percussion - Fu Chi, Deep Meditation Music - Nay Ney oriental Flute - Sunrise
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 40 min of Relaxation Music - Venus Meditation - healing sound and fractal visualisation
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Tender music
youtube_video mdOZIOc8SA4 · row balanced_train:mdOZIOc8SA4:30:40
AudioSetbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Folk music, Music
youtube_video 9a_1Bbl-iKI · row unbalanced_train:9a_1Bbl-iKI:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Wind instrument, woodwind instrument, Flute
youtube_video PZ-Nl5sRpKQ · row unbalanced_train:PZ-Nl5sRpKQ:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Flute
youtube_video X5uNye3JvMU · row unbalanced_train:X5uNye3JvMU:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video Xb4d83AwtDU · row unbalanced_train:Xb4d83AwtDU:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Singing bowl
youtube_video n3J3rFVvpiA · row unbalanced_train:n3J3rFVvpiA:30:40
AudioSetunbalanced_train
Clip 220s to 230s · Open clip on YouTube · Labels: Didgeridoo, Music
youtube_video y3lHZbOHZD8 · row unbalanced_train:y3lHZbOHZD8:220:230
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Theme music, Music, Flute
youtube_video z42IajWKMyw · row unbalanced_train:z42IajWKMyw:30:40
AudioSetunbalanced_train
Clip 531s to 541s · Open clip on YouTube · Labels: Singing bowl
youtube_video zYdXXtb4NQg · row unbalanced_train:zYdXXtb4NQg:531:541
AudioSetunbalanced_train
“This song contains a lot of synth pad and drone sounds creating a meditative atmosphere. Then a deep soft bass sound comes in. A piano is playing a slow melody with a lot of reverb. A flute sound is playing a simple melody on top and a pluck instrument is playing another short melody. Then a digital female choir sounding pad comes in. This song may be playing during a meditation session.”
Clip 30s to 40s · Open clip on YouTube
youtube_video mdOZIOc8SA4 · row mdOZIOc8SA4:30:40
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 cb8fbeb218c2008bb6ab246e0b54436939060393f6144d00c91b25ee968ad51f
| 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.