Report AURORA Healing 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 金剛鈴（ガンター） Tibetan Buddhism bell, ティンシャ ガンター 音色比べ チベット法具 空間浄化 サウンドヒーリング Tingsha Tibet BELL, チャクラヒーリング用音叉 エンジェルチューナー Chakra Healing Tuning Forks Angel Tuners
videos 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 金剛鈴（ガンター） Tibetan Buddhism bell, ティンシャ ガンター 音色比べ チベット法具 空間浄化 サウンドヒーリング Tingsha Tibet BELL
Clip 0s to 10s · Open clip on YouTube · Labels: Bell
youtube_video E6JR3htwgyE · row balanced_train:E6JR3htwgyE:0:10
AudioSetbalanced_train
Clip 70s to 80s · Open clip on YouTube · Labels: Bell
youtube_video Sdnv8043mdk · row balanced_train:Sdnv8043mdk:70:80
AudioSetbalanced_train
Clip 230s to 240s · Open clip on YouTube · Labels: Tuning fork
youtube_video AIHGsEfe0Yo · row eval:AIHGsEfe0Yo:230:240
AudioSeteval
Clip 230s to 240s · Open clip on YouTube · Labels: Tuning fork
youtube_video TXgqCwn1DBw · row eval:TXgqCwn1DBw:230:240
AudioSeteval
Clip 20s to 30s · Open clip on YouTube · Labels: Tuning fork
youtube_video 07b-gdeZjrU · row unbalanced_train:07b-gdeZjrU:20:30
AudioSetunbalanced_train
“The song is instrumental. The song is medium with a bell ringing with echoes in the room. There is no other instrumentation. The song is healing and relaxing in nature. The audio quality is bad with ambient room noise.”
Clip 0s to 10s · Open clip on YouTube
youtube_video E6JR3htwgyE · row E6JR3htwgyE:0:10
MusicCaps
“This audio contains someone playing a very high pitched tone using tingsha bells. This is an amateur recording.”
Clip 70s to 80s · Open clip on YouTube
youtube_video Sdnv8043mdk · row Sdnv8043mdk:70:80
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 8c6c933c93bc7d2892a1d05b01d08bb9e87f9ba0cba3a11622a8a81eb2cdc10a
| 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.