Report Likhith Kurba 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 Tum hi ho-Aashiqui 2(Arijit Singh) Complete Guitar tabs Lesson/Tutorial by Likhith Kurba, Sun raha hai - Aashiqui 2 Complete Guitar tabs Lesson/Tutorial by Likhith Kurba, Teri Meri Kahaani || Gabbar Is Back || Guitar Tabs/Lesson by Likhith Kurba
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 Tum hi ho-Aashiqui 2(Arijit Singh) Complete Guitar tabs Lesson/Tutorial by Likhith Kurba
Clip 30s to 40s · Open clip on YouTube · Labels: Guitar, Acoustic guitar, Music, Musical instrument, Strum, Plucked string instrument
youtube_video 4H1nc2Xv2Hg · row balanced_train:4H1nc2Xv2Hg:30:40
AudioSetbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Guitar, Music, Musical instrument, Speech, Plucked string instrument
youtube_video 2QRGOtJOr3Q · row unbalanced_train:2QRGOtJOr3Q:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Guitar, Acoustic guitar, Music, Musical instrument, Strum, Plucked string instrument
youtube_video 5n1yaoyQoo8 · row unbalanced_train:5n1yaoyQoo8:30:40
AudioSetunbalanced_train
Clip 50s to 60s · Open clip on YouTube · Labels: Pizzicato
youtube_video 5pykx8GsS7c · row unbalanced_train:5pykx8GsS7c:50:60
AudioSetunbalanced_train
“The song is an instrumental. The tempo is slow and unsure, with a guitarist attempting to play a minor scale and gets the scale wrong. The song has poor audio quality with ambient traffic noise in the background.”
Clip 30s to 40s · Open clip on YouTube
youtube_video 4H1nc2Xv2Hg · row 4H1nc2Xv2Hg: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 e04c2c443a55b815875c8261f0208ea8ea2ca302799f33c21f07d492b26573c7
| 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.