Report Rajshri 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 Dosti All Songs Jukebox (HD) | Evergreen Bollywood Songs | Classic Old Hindi Songs, Dosti - All Songs Jukebox - Old Hindi Songs - Bollywood Evergreen Hits, Dhiktana 1 - Blockbuster Bollywood Song - Salman Khan & Madhuri Dixit - Hum Aapke Hain Kaun
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 Dosti All Songs Jukebox (HD) | Evergreen Bollywood Songs | Classic Old Hindi Songs, Khilona - 6/15 - Bollywood Movie - Sanjeev Kumar, Jeetendra & Mumtaaz
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Middle Eastern music, Music of Bollywood
youtube_video AVVfOYSmexM · row balanced_train:AVVfOYSmexM:30:40
AudioSetbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Music of Bollywood
youtube_video Bl4VJ3ZJ4jY · row balanced_train:Bl4VJ3ZJ4jY:30:40
AudioSetbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Singing, Music, Music of Bollywood
youtube_video WRBthmGrSUE · row balanced_train:WRBthmGrSUE:30:40
AudioSetbalanced_train
Clip 500s to 510s · Open clip on YouTube · Labels: Traditional music, Music
youtube_video doHRurF8bf8 · row balanced_train:doHRurF8bf8:500:510
AudioSetbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Music of Bollywood
youtube_video fO94zt1Tb88 · row balanced_train:fO94zt1Tb88:30:40
AudioSetbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech, Music of Bollywood
youtube_video hitfCGnAvGc · row balanced_train:hitfCGnAvGc:30:40
AudioSetbalanced_train
Clip 180s to 190s · Open clip on YouTube · Labels: String section
youtube_video TIdbwDDZ2Aw · row eval:TIdbwDDZ2Aw:180:190
AudioSeteval
Clip 60s to 70s · Open clip on YouTube · Labels: Music, Speech, Music of Bollywood
youtube_video eRih9QADLQs · row eval:eRih9QADLQs:60:70
AudioSeteval
Clip 30s to 40s · Open clip on YouTube · Labels: Zither, Pizzicato
youtube_video gIODEFkvjTA · row eval:gIODEFkvjTA:30:40
AudioSeteval
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 4JPb8-Kfiec · row unbalanced_train:4JPb8-Kfiec:30:40
AudioSetunbalanced_train
Clip 100s to 110s · Open clip on YouTube · Labels: Tabla, Percussion
youtube_video 4dB2A6O85TQ · row unbalanced_train:4dB2A6O85TQ:100:110
AudioSetunbalanced_train
Clip 200s to 210s · Open clip on YouTube · Labels: Female speech, woman speaking, Music, Speech, Inside, small room
youtube_video WjBkFaYW79Q · row unbalanced_train:WjBkFaYW79Q:200:210
AudioSetunbalanced_train
Clip 50s to 60s · Open clip on YouTube · Labels: Didgeridoo
youtube_video XHWnVjWJUOs · row unbalanced_train:XHWnVjWJUOs:50:60
AudioSetunbalanced_train
Clip 60s to 70s · Open clip on YouTube · Labels: Music, Speech
youtube_video ZCznDqoAcOU · row unbalanced_train:ZCznDqoAcOU:60:70
AudioSetunbalanced_train
Clip 40s to 50s · Open clip on YouTube · Labels: Brass instrument, Music, Trombone, Trumpet
youtube_video aZfvg0JktAk · row unbalanced_train:aZfvg0JktAk:40:50
AudioSetunbalanced_train
Clip 70s to 80s · Open clip on YouTube · Labels: Song, Music of Bollywood
youtube_video dLbJ2cqwXto · row unbalanced_train:dLbJ2cqwXto:70:80
AudioSetunbalanced_train
Clip 40s to 50s · Open clip on YouTube · Labels: Music, Outside, urban or manmade
youtube_video jaiengCDV4s · row unbalanced_train:jaiengCDV4s:40:50
AudioSetunbalanced_train
Clip 220s to 230s · Open clip on YouTube · Labels: Music, Speech
youtube_video tXpyLRnQmlU · row unbalanced_train:tXpyLRnQmlU:220:230
AudioSetunbalanced_train
Clip 520s to 530s · Open clip on YouTube · Labels: Singing, Music, Music of Bollywood
youtube_video xcor5wuxS28 · row unbalanced_train:xcor5wuxS28:520:530
AudioSetunbalanced_train
“The low quality recording features a muffled echoing male vocal singing over a muffled instrumental. It sounds noisy, but also passionate and emotional.”
Clip 30s to 40s · Open clip on YouTube
youtube_video AVVfOYSmexM · row AVVfOYSmexM:30:40
MusicCaps
“A male Hindi singer sings this tragic romantic song. The song is medium tempo with a strong percussion line with tablas and other Indian percussion, strong bass line and a sitar or guitar playing accompaniment. The song is sad yet romantic. The audio quality is average.”
Clip 500s to 510s · Open clip on YouTube
youtube_video doHRurF8bf8 · row doHRurF8bf8:500:510
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 08e1391290bd89b80b46458ca39f61ab0acb69caadc7ee371dd9ba294f42bfb3
| 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.