Report BayKdang 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 Kom Leuk Torosab Ke Pel Nov Kbe Oun RHM CD Vol 471, Knong Lork Nes Kmean Neak Na Srolanh Oun Cheang Bong Te by Kola | Sunday CD Vol 146, Tik Pnek Tok Yak - Preap Sovath
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 Kom Leuk Torosab Ke Pel Nov Kbe Oun RHM CD Vol 471
Clip 0s to 10s · Open clip on YouTube · Labels: Music, Speech, Sad music
youtube_video 91AmOKytRUM · row balanced_train:91AmOKytRUM:0:10
AudioSetbalanced_train
Clip 120s to 130s · Open clip on YouTube · Labels: Music, Pop music
youtube_video 2E8_hFSpf7I · row unbalanced_train:2E8_hFSpf7I:120:130
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video 82tbUDfSsFw · row unbalanced_train:82tbUDfSsFw:30:40
AudioSetunbalanced_train
Clip 40s to 50s · Open clip on YouTube · Labels: Music
youtube_video 8u_BZkMx71Q · row unbalanced_train:8u_BZkMx71Q:40:50
AudioSetunbalanced_train
Clip 120s to 130s · Open clip on YouTube · Labels: Singing, Music
youtube_video BUDfGJR8tA8 · row unbalanced_train:BUDfGJR8tA8:120:130
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video I0LqezzhkA0 · row unbalanced_train:I0LqezzhkA0:30:40
AudioSetunbalanced_train
Clip 280s to 290s · Open clip on YouTube · Labels: Singing, Music
youtube_video PIi2T5sHB8g · row unbalanced_train:PIi2T5sHB8g:280:290
AudioSetunbalanced_train
Clip 160s to 170s · Open clip on YouTube · Labels: Singing, Heavy metal, Music
youtube_video aMhpj67NgD4 · row unbalanced_train:aMhpj67NgD4:160:170
AudioSetunbalanced_train
Clip 320s to 330s · Open clip on YouTube · Labels: Music, Speech
youtube_video gMvTLC5YJUE · row unbalanced_train:gMvTLC5YJUE:320:330
AudioSetunbalanced_train
Clip 130s to 140s · Open clip on YouTube · Labels: Singing, Music
youtube_video hoSFVXghG64 · row unbalanced_train:hoSFVXghG64:130:140
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Silence, Music
youtube_video nPrzOCzss-0 · row unbalanced_train:nPrzOCzss-0:0:10
AudioSetunbalanced_train
“A female vocalist sings this soft song in a foreign language. The tempo is slow with a soft piano accompaniment and sound of chimes. The vocals are mellow, passionate,emotional, sentimental, nostalgic, melancholic and reflective. This song is a sad classic Pop.”
Clip 0s to 10s · Open clip on YouTube
youtube_video 91AmOKytRUM · row 91AmOKytRUM: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 7d7f2c18402f7980e650e1f29cacbd74c909e52bede9e573d22f0b5243347c81
| 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.