Report 9431885 MK 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 jan-e-bahar husn tera,wallah kamal hai_ShammiKapoor&Saroja_Rafi_ Shakeel_Ravi_tribute to singing GOD, कितना रंगीन है ये चांद सितारों का समा_ Picnic1960_Guru Dutt& Sadhna_ Rafi_Asha_Majrooh_N Dutta_a tri, एक सुर दो गीत-HemantKumar..Ei raat tomar amar-Ye nayan dare dare...a tribute
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 jan-e-bahar husn tera,wallah kamal hai_ShammiKapoor&Saroja_Rafi_ Shakeel_Ravi_tribute to singing GOD
Clip 0s to 10s · Open clip on YouTube · Labels: Music, Sitar
youtube_video Q6dVti1YVwM · row eval:Q6dVti1YVwM:0:10
AudioSeteval
Clip 150s to 160s · Open clip on YouTube · Labels: Music, Music of Bollywood
youtube_video 58RV2dslH0o · row unbalanced_train:58RV2dslH0o:150:160
AudioSetunbalanced_train
Clip 250s to 260s · Open clip on YouTube · Labels: Singing, Music, Inside, large room or hall
youtube_video h06iPGHfKW0 · row unbalanced_train:h06iPGHfKW0:250:260
AudioSetunbalanced_train
Clip 40s to 50s · Open clip on YouTube · Labels: Singing, Music, Middle Eastern music
youtube_video hEjmApfLlHE · row unbalanced_train:hEjmApfLlHE:40:50
AudioSetunbalanced_train
Clip 110s to 120s · Open clip on YouTube · Labels: Singing, Music, Middle Eastern music
youtube_video nyuW5ayyGFw · row unbalanced_train:nyuW5ayyGFw:110:120
AudioSetunbalanced_train
“Vintage south Asian Bollywood music featuring sitar and an orchestral string melody which uses a pentatonic scale. The song follows a waltz rhythm, using three beats to the measure.”
Clip 0s to 10s · Open clip on YouTube
youtube_video Q6dVti1YVwM · row Q6dVti1YVwM:0:10
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 e65b7de742ec57a730cf57e20133e96f177d9c5dfa08f00a02b4a22406434967
| 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.