Report varshapavitra 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 Deep Tone Singing Bowls - Designed for HQ Headphones- part1 of 2, Tibetan Singing Bowls Meditation Part 1/4 Hans Cousto: Release your mind (BINAURAL USE HEADPHONES), Binaural Tibetan Singing Bowls Meditation / Klankschalen meditatie USE HEADPHONES Pt. 1/3 30 min.
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 Deep Tone Singing Bowls - Designed for HQ Headphones- part1 of 2, Tibetan Singing Bowls Meditation Part 1/4 Hans Cousto: Release your mind (BINAURAL USE HEADPHONES), Binaural Tibetan Singing Bowls Meditation / Klankschalen meditatie USE HEADPHONES Pt. 1/3 30 min.
Clip 30s to 40s · Open clip on YouTube · Labels: Singing bowl
youtube_video Z2c1npe5AYY · row balanced_train:Z2c1npe5AYY:30:40
AudioSetbalanced_train
Clip 480s to 490s · Open clip on YouTube · Labels: Singing bowl
youtube_video kh6rmFg3U4k · row balanced_train:kh6rmFg3U4k:480:490
AudioSetbalanced_train
Clip 220s to 230s · Open clip on YouTube · Labels: Singing bowl
youtube_video p3DLHNuCYhU · row balanced_train:p3DLHNuCYhU:220:230
AudioSetbalanced_train
Clip 180s to 190s · Open clip on YouTube · Labels: Tubular bells, Singing bowl
youtube_video zjZV0tvur2I · row balanced_train:zjZV0tvur2I:180:190
AudioSetbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Singing bowl
youtube_video 7mr9UVVsv6I · row eval:7mr9UVVsv6I:30:40
AudioSeteval
Clip 540s to 550s · Open clip on YouTube · Labels: Singing bowl
youtube_video 8LvQfUS5e1I · row unbalanced_train:8LvQfUS5e1I:540:550
AudioSetunbalanced_train
Clip 120s to 130s · Open clip on YouTube · Labels: Singing bowl
youtube_video FzeTl1WhxuI · row unbalanced_train:FzeTl1WhxuI:120:130
AudioSetunbalanced_train
Clip 100s to 110s · Open clip on YouTube · Labels: Singing bowl
youtube_video G-bfFenheNA · row unbalanced_train:G-bfFenheNA:100:110
AudioSetunbalanced_train
Clip 130s to 140s · Open clip on YouTube · Labels: Singing bowl
youtube_video J2nPaYFj4QA · row unbalanced_train:J2nPaYFj4QA:130:140
AudioSetunbalanced_train
Clip 290s to 300s · Open clip on YouTube · Labels: Singing bowl
youtube_video JzBF9YUMi1c · row unbalanced_train:JzBF9YUMi1c:290:300
AudioSetunbalanced_train
Clip 550s to 560s · Open clip on YouTube · Labels: Singing bowl
youtube_video LcC8aWGEyGE · row unbalanced_train:LcC8aWGEyGE:550:560
AudioSetunbalanced_train
Clip 360s to 370s · Open clip on YouTube · Labels: Singing bowl
youtube_video QMWZj4NqX68 · row unbalanced_train:QMWZj4NqX68:360:370
AudioSetunbalanced_train
Clip 280s to 290s · Open clip on YouTube · Labels: Singing bowl
youtube_video RhugcTFKQoU · row unbalanced_train:RhugcTFKQoU:280:290
AudioSetunbalanced_train
Clip 190s to 200s · Open clip on YouTube · Labels: Singing bowl
youtube_video fWruxObRtms · row unbalanced_train:fWruxObRtms:190:200
AudioSetunbalanced_train
Clip 350s to 360s · Open clip on YouTube · Labels: Music, Singing bowl
youtube_video l0vKLTGbT-o · row unbalanced_train:l0vKLTGbT-o:350:360
AudioSetunbalanced_train
Clip 140s to 150s · Open clip on YouTube · Labels: Singing bowl
youtube_video vjQL20yiZsY · row unbalanced_train:vjQL20yiZsY:140:150
AudioSetunbalanced_train
“The low quality recording features a deep tone singing bowl resonance and a bowl hit impact. It sounds relaxing, calming and hypnotic.”
Clip 30s to 40s · Open clip on YouTube
youtube_video Z2c1npe5AYY · row Z2c1npe5AYY:30:40
MusicCaps
“The low quality recording features a resonating bell in one shot. It sounds mellow, soft, calming, relaxing and hypnotic - like something you would listen to while meditating.”
Clip 480s to 490s · Open clip on YouTube
youtube_video kh6rmFg3U4k · row kh6rmFg3U4k:480:490
MusicCaps
“The low quality recording features a resonating mellow bell playing. It sounds relaxing, calming, soft, mellow, haunting and hypnotic. The recording is noisy and in mono.”
Clip 220s to 230s · Open clip on YouTube
youtube_video p3DLHNuCYhU · row p3DLHNuCYhU:220:230
MusicCaps
“The low quality recording features a widely spread resonating bowl tones. It sounds calming and relaxing, like something you would hear in a yoga session.”
Clip 180s to 190s · Open clip on YouTube
youtube_video zjZV0tvur2I · row zjZV0tvur2I:180:190
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 f859b4232079166c58de301624ad103eca49d6559dd57682406e3c0b8aaf991c
| 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.