Report Kim tuyenトゥエン built from the datasets alone
This page only knows about the videos the datasets list. To check every upload on the channel:
video 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 Bông Tuyết - Thiên Quốc - Xem video clip - Zing Mp3_2.flv
songs in LAION-DISCO-12M under the artist name
A list of 12 million songs on YouTube Music, gathered by walking artist pages, that LAION published in 2024 for training general music models.
Including Gợi Nhớ Quê Hương, Tình Lúa Duyên Trăng, Duyên Quê
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
Listed as Hoàng Yến, Kim Tuyền – Gợi Nhớ Quê Hương (Phải Lòng Con Gái Bến Tre) · Watch on YouTube
youtube_video 5cT1FQooRiE · row 5cT1FQooRiE
LAION-DISCO-12M
Listed as Kim Tuyền, Hoàng Yến – Tình Lúa Duyên Trăng (Em Đi Trên Cỏ Non) · Watch on YouTube
youtube_video JqgEfDdhgMc · row JqgEfDdhgMc
LAION-DISCO-12M
Listed as Kim Tuyền, Hoàng Yến – Duyên Quê (Em Đi Trên Cỏ Non) · Watch on YouTube
youtube_video TJ_TPuSCgDg · row TJ_TPuSCgDg
LAION-DISCO-12M
Listed as Kim Tuyền, Hoàng Yến – Hương Tóc Mạ Non (Em Đi Trên Cỏ Non) · Watch on YouTube
youtube_video cCkOnaXV-zU · row cCkOnaXV-zU
LAION-DISCO-12M
Listed as Kim Tuyền, Hoàng Diễn – Thương Áo Bà Ba (Tình Thắm Duyên Quê) · Watch on YouTube
youtube_video keDk3stoc3M · row keDk3stoc3M
LAION-DISCO-12M
Listed as Kim Tuyền, Hoàng Diễn – Chiếc Xuồng (Tình Thắm Duyên Quê) · Watch on YouTube
youtube_video q6HD8aVw3z0 · row q6HD8aVw3z0
LAION-DISCO-12M
Listed as Kim Tuyền, Hoàng Yến – Em Đi Trên Cỏ Non (Em Đi Trên Cỏ Non) · Watch on YouTube
youtube_video rXx3AlDdhJ8 · row rXx3AlDdhJ8
LAION-DISCO-12M
Clip 240s to 250s · Open clip on YouTube · Labels: Music, Pop music
youtube_video akP9_BsOb48 · row unbalanced_train:akP9_BsOb48:240:250
AudioSetunbalanced_train
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 65b57edab3aeebcef9aa4f543b7be1ae16a998d1e4b4ebfe42560abfad670b5b
| 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.