Report Herbal Jedi 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 How to Harvest Wild Stinging Nettles | Harmonic Arts, Dandelion, Natures Hard Worker | with Herbal Guest Dr. Terry Willard Ph.D. | Harmonic Arts, Who Is Harmonic Arts Botanical Dispensary | Cumberland, BC
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech, Harmonic
youtube_video WFdura21G1Q · row balanced_train:WFdura21G1Q:30:40
AudioSetbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 1oLVOOmghKY · row unbalanced_train:1oLVOOmghKY:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video 8eZMmZmrnnY · row unbalanced_train:8eZMmZmrnnY:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech, Harmonic
youtube_video BLo76G9KBBE · row unbalanced_train:BLo76G9KBBE:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video CVVNwgVs8dE · row unbalanced_train:CVVNwgVs8dE:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech, Harmonic
youtube_video DcxX0hy9dQM · row unbalanced_train:DcxX0hy9dQM:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video EoyRXngV5Xg · row unbalanced_train:EoyRXngV5Xg:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video JkvNVLFz4Uw · row unbalanced_train:JkvNVLFz4Uw:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video T1suVwIAtKI · row unbalanced_train:T1suVwIAtKI:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech, Harmonic
youtube_video Tjgwkadik9Y · row unbalanced_train:Tjgwkadik9Y:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video U7HKx18j0jI · row unbalanced_train:U7HKx18j0jI:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video VcLcYjRefPs · row unbalanced_train:VcLcYjRefPs:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech, Harmonic
youtube_video WHo0SHe1sJQ · row unbalanced_train:WHo0SHe1sJQ:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video dXPO6uSFFd8 · row unbalanced_train:dXPO6uSFFd8:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video eOAG7ZEmhQY · row unbalanced_train:eOAG7ZEmhQY:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video fuKk1xxgFBI · row unbalanced_train:fuKk1xxgFBI:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video jyF7o3fVVaU · row unbalanced_train:jyF7o3fVVaU:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech, Harmonic
youtube_video kwOZeFxcMec · row unbalanced_train:kwOZeFxcMec:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video mqTH_tNWDhQ · row unbalanced_train:mqTH_tNWDhQ:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video qezIC7H_C4w · row unbalanced_train:qezIC7H_C4w:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video sJrTTvsuZWo · row unbalanced_train:sJrTTvsuZWo:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video tcnF2wF-3mY · row unbalanced_train:tcnF2wF-3mY:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video uPEpIcGn1OI · row unbalanced_train:uPEpIcGn1OI:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video vhm5Ndit_zE · row unbalanced_train:vhm5Ndit_zE:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video w-uxXUF-MdI · row unbalanced_train:w-uxXUF-MdI:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video x0FHT7Dw_5I · row unbalanced_train:x0FHT7Dw_5I:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video x41cFbgQHBI · row unbalanced_train:x41cFbgQHBI:30:40
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech
youtube_video zhBdCNUv4Uo · row unbalanced_train:zhBdCNUv4Uo:30:40
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 9a0140c8d3914f21e0484a9286657f784dde4293efe5a8e57027b1fe4e3fe12c
| 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.