Report BIG UP PRODUCTION built from the datasets alone

Yes. BIG UP PRODUCTION has 8 videos listed in datasets used to train and test AI models.

This page only knows about the videos the datasets list. To check every upload on the channel:

Used for training and testing 8

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 Big Up Kemp Europe 2013. Workshop by Fatou Tera. Busy Signal - Life goes on, DANCEHALL INTERNATIONAL 2015 - DANCE ALL STYLES BATTLE FINAL - SLAM (win) vs MARIA KOZLOVA, DANCEHALL INTERNATIONAL RUSSIA 2016 - TEAMS SUPERFINAL - DRUM DI FIRE (win) vs JARUSSIAN JUNIORS

Used for testing 1

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 Big Up Kemp Europe 2013. Workshop by Fatou Tera. Busy Signal - Life goes on

AudioSet 8 videos, 8 rows

Big Up Kemp Europe 2013. Workshop by Fatou Tera. Busy Signal - Life goes on

Clip 30s to 40s · Open clip on YouTube · Labels: Jingle (music), Music, Salsa music

youtube_video FsCQmTluSDw · row eval:FsCQmTluSDw:30:40

AudioSeteval

DANCEHALL INTERNATIONAL 2015 - DANCE ALL STYLES BATTLE FINAL - SLAM (win) vs MARIA KOZLOVA

Clip 30s to 40s · Open clip on YouTube · Labels: Music

youtube_video 2fOnWLvv76g · row unbalanced_train:2fOnWLvv76g:30:40

AudioSetunbalanced_train

DANCEHALL INTERNATIONAL RUSSIA 2016 - TEAMS SUPERFINAL - DRUM DI FIRE (win) vs JARUSSIAN JUNIORS

Clip 30s to 40s · Open clip on YouTube · Labels: Drum, Drum kit, Music, Musical instrument, Speech, Bass drum

youtube_video HvbEmm0vTZQ · row unbalanced_train:HvbEmm0vTZQ:30:40

AudioSetunbalanced_train

BIG UP KEMP 2011, Workshop by Laure Courtellemont on Savage - Neatest

Clip 10s to 20s · Open clip on YouTube · Labels: Music of Africa, Music

youtube_video IHIXNIfSO8s · row unbalanced_train:IHIXNIfSO8s:10:20

AudioSetunbalanced_train

Dancehall Camp BIG UP KEMP Europe 2014 // France, DAY 1

Clip 190s to 200s · Open clip on YouTube · Labels: Heart murmur, Music

youtube_video Xoif2VrUAg4 · row unbalanced_train:Xoif2VrUAg4:190:200

AudioSetunbalanced_train

Big Up Kemp Russia 2013. Battle 1x1. Ruslan vs Anastasia vs Inga

Clip 410s to 420s · Open clip on YouTube · Labels: Crowd, Music, Speech

youtube_video i-r6ClK4FB4 · row unbalanced_train:i-r6ClK4FB4:410:420

AudioSetunbalanced_train

DANCEHALL INTERNATIONAL 2015 - DANCEHALL TEAMS BATTLE FINAL - TARZAN TEAM vs DRUM DI FIRE (win)

Clip 30s to 40s · Open clip on YouTube · Labels: Drum, Music, Musical instrument, Speech, Bass drum

youtube_video jk9kYBarqnY · row unbalanced_train:jk9kYBarqnY:30:40

AudioSetunbalanced_train

DHI RUSSIA 2016 - SHOW - DRUM DI FIRE

Clip 30s to 40s · Open clip on YouTube · Labels: Drum, Music, Musical instrument

youtube_video puasbMNdb1g · row unbalanced_train:puasbMNdb1g:30:40

AudioSetunbalanced_train

MusicCaps 1 videos, 1 rows

Big Up Kemp Europe 2013. Workshop by Fatou Tera. Busy Signal - Life goes on

“The drums sound complex and fast paced going into the direction of drum&bass. Full of hihat and snare hits. Barely noticeable a synthetic bass is playing along with the drums giving this song a ragga feeling. A very simple synthesizer pad is playing a high pitched melody. The male voice sounds lower and energetic. This recording is of poor audio quality. This song may be playing at a dancing event or while working out.”

Clip 30s to 40s · Open clip on YouTube

youtube_video FsCQmTluSDw · row FsCQmTluSDw:30:40

MusicCaps

What this means

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.

What you can do

3 routes. None is a guarantee.

UK, PRS members. Send PRS for Music your report and ask what collective or licensing route covers your works.
- PRS for Music and Artificial Intelligence, Version 1 (October 2025), 2025-10-01
- PRS for Music: AI and music copyright, 2026-09-24
Germany, GEMA members. GEMA won a first-instance ruling against Suno on 31 July 2026 and has a licensing model. Ask how they apply to your repertoire.
- GEMA: Suno AI and OpenAI, GEMA sues for fair compensation, 2025-01-21
- DLA Piper: GEMA v Suno, Munich Regional Court judgment of 31 July 2026, 2026-08-28
- Music Business Worldwide: Germany's GEMA launches AI Charter, 2024-11-05
Signed to Warner, BMG or Believe/TuneCore. Each has an opt-in licensing deal with Suno. Ask your label what opting in or out means for you and whether any settlement money reaches artists.
- Music Business Worldwide: Warner Music Group settles with Suno, 2025-11-25
- Music Ally: Suno signs another music licensing deal, with BMG, 2026-08-12
- Music Business Worldwide: Suno inks global deal with Believe, 2026-09-08

Keep a copy

Download the evidence (PDF) JSON Check another name

Share this page https://youtrained.com/r/big-up-production-yt_UCP65UHwDUl1NLnRJSeSrTFw

Provenance

JSON export SHA-256 bef061debf48392afe05fb28e37b5129d2e2cebb675671119458fe81d0179cc1

Dataset versions indexed

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.