Report DMC World Championships 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 2007 - DJ Miya Jima (Japan) - DMC World DJ Final, 1987 - Ken Larsen (Denmark) - DMC World DJ Championship Final, 2006 - Rafik (Germany) - DMC World DJ Final
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 2007 - DJ Miya Jima (Japan) - DMC World DJ Final
Clip 90s to 100s · Open clip on YouTube · Labels: Electronic music, Music, Scratch, Speech, Inside, large room or hall
youtube_video 8oTTgXIO0-I · row balanced_train:8oTTgXIO0-I:90:100
AudioSetbalanced_train
Clip 160s to 170s · Open clip on YouTube · Labels: Scratching (performance technique), Music
youtube_video KdzHvmdhozc · row unbalanced_train:KdzHvmdhozc:160:170
AudioSetunbalanced_train
Clip 220s to 230s · Open clip on YouTube · Labels: Electronic music, Music, Hip hop music, Inside, large room or hall
youtube_video s3psmWkFfug · row unbalanced_train:s3psmWkFfug:220:230
AudioSetunbalanced_train
“This song contains someone scratching over a Hip-Hop track. The track contains acoustic drums with a rim-shot as snare and congas playing along. The e-bass and an e-guitar are playing the same lines in the lower register. This song may be playing live at a scratching contest.”
Clip 90s to 100s · Open clip on YouTube
youtube_video 8oTTgXIO0-I · row 8oTTgXIO0-I:90:100
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 4e1c6fceefede608b66c2c48049653dc0f09eacad244563556de00c5e42c7295
| 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.