Report abbcnj 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 Ով Մեծ Աստված - Ժիլպերդ Հովսէփեան, Նոր Ծաղիկ - Սալբի Քէլէշեան, Armenian Christian Song - Or Mu
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 Ով Մեծ Աստված - Ժիլպերդ Հովսէփեան
Clip 30s to 40s · Open clip on YouTube · Labels: Music of Asia, Music, Independent music, Song, Soul music
youtube_video Jdy08IPLKdw · row eval:Jdy08IPLKdw:30:40
AudioSeteval
Clip 190s to 200s · Open clip on YouTube · Labels: Christian music, Music
youtube_video 2pcLEWaKQnc · row unbalanced_train:2pcLEWaKQnc:190:200
AudioSetunbalanced_train
Clip 130s to 140s · Open clip on YouTube · Labels: Christian music, Music
youtube_video Cd6M_uixkwA · row unbalanced_train:Cd6M_uixkwA:130:140
AudioSetunbalanced_train
Clip 70s to 80s · Open clip on YouTube · Labels: Music
youtube_video SGuRZpSAf9Q · row unbalanced_train:SGuRZpSAf9Q:70:80
AudioSetunbalanced_train
“This song is a mellow Christian hymn in a foreign language. The tempo is slow with soft piano, rhythmic acoustic guitar, steady drumming and keyboard harmony. The music is minimalist and the song is a prayerful, melodious, devotional, emotional and thankful Gospel Song/Hymn.”
Clip 30s to 40s · Open clip on YouTube
youtube_video Jdy08IPLKdw · row Jdy08IPLKdw: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 481c939d15ab95729e4ea7da27123df5cea1e2cded067765d5ab09b806434055
| 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.