Report Zalem 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 Zalem & Yshar - Didgeridoo & Tribal Fusion Dance, Adèle & Zalem, Didgeridoo Duet, Didgelement test par Zalem : Merisier Mi (E)
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 Lujuria, No Me Falles
videos 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 Zalem & Yshar - Didgeridoo & Tribal Fusion Dance, Adèle & Zalem, Didgeridoo Duet
Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.
Listed as Manicomio777, Jabet, Zalem, Arkanoh – Lujuria (Lujuria) · Watch on YouTube
youtube_video JMEPgzleS3s · row JMEPgzleS3s
LAION-DISCO-12M
Listed as Mañas Ru-Fino, Zalem, Doble Porcion – No Me Falles (No Me Falles) · Watch on YouTube
youtube_video wGiAJNRQ6VU · row wGiAJNRQ6VU
LAION-DISCO-12M
Clip 30s to 40s · Open clip on YouTube · Labels: Didgeridoo, Music
youtube_video YyYEzAY2e2I · row balanced_train:YyYEzAY2e2I:30:40
AudioSetbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Didgeridoo, Music
youtube_video oXBGZoBYaLY · row eval:oXBGZoBYaLY:30:40
AudioSeteval
Clip 30s to 40s · Open clip on YouTube · Labels: Didgeridoo, Music
youtube_video FAj39SyH0AM · row unbalanced_train:FAj39SyH0AM:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music
youtube_video iW-dOXFfxe0 · row unbalanced_train:iW-dOXFfxe0:30:40
AudioSetunbalanced_train
“The song is an instrumental. The tempo is slow with a didgeridoo playing percussive grunting low tones in a sonorous manner. The song is trance-like with a dance performing live on stage. The song is meditative and deeply spiritual.”
Clip 30s to 40s · Open clip on YouTube
youtube_video YyYEzAY2e2I · row YyYEzAY2e2I:30:40
MusicCaps
“This song is an instrumental. The tempo is medium with the melody of an oboe and percussion rhythm like the bongos and the sound of a waterfall and faint female vocals in the background.the sound quality of the song is inferior and the sounds are distorted and muffled This song is an instrumental pop.”
Clip 30s to 40s · Open clip on YouTube
youtube_video oXBGZoBYaLY · row oXBGZoBYaLY: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 ba7d0f4de67852f1edc091785cadb230f7b62abe3e10c80a57942e489c0f5ac6
| 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.