Report Battle Ave™️ built from the datasets alone

Yes. Battle Ave™️ has 10 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 10

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 Thud Rumble | Battle Ave. | 2014 Cut 2 Cut LA Finals, #AtTheAve (Los Angeles) - Live vinyl mix by CWITCH (Battlestar / San Diego), Thud Rumble | Intel Edison Chip Debut at Maker Faire 2015

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 Thud Rumble | Battle Ave. | 2014 Cut 2 Cut LA Finals

AudioSet 10 videos, 10 rows

Thud Rumble | Battle Ave. | 2014 Cut 2 Cut LA Finals

Clip 70s to 80s · Open clip on YouTube · Labels: Scratching (performance technique), Sampler, Music, Scratch, Synthesizer

youtube_video E4a3s8NRqUM · row eval:E4a3s8NRqUM:70:80

AudioSeteval

#AtTheAve (Los Angeles) - Live vinyl mix by CWITCH (Battlestar / San Diego)

Clip 230s to 240s · Open clip on YouTube · Labels: Scratching (performance technique), Music

youtube_video 0jdIyi_DYpA · row unbalanced_train:0jdIyi_DYpA:230:240

AudioSetunbalanced_train

Thud Rumble | Intel Edison Chip Debut at Maker Faire 2015

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

youtube_video 3O-R_3OMIKI · row unbalanced_train:3O-R_3OMIKI:30:40

AudioSetunbalanced_train

Thud Rumble Keynote at Maker Faire Bay Area

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

youtube_video 8DjurH54JOc · row unbalanced_train:8DjurH54JOc:30:40

AudioSetunbalanced_train

Thud Rumble | Turntable Lab | Battle Ave - NYC Cut 2 Cut Finals

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

youtube_video AymZSQZy9fo · row unbalanced_train:AymZSQZy9fo:30:40

AudioSetunbalanced_train

Thud Rumble | Skratcher | Battle Ave. | At The Ave: Vancouver Cut 2 Cut Finals

Clip 140s to 150s · Open clip on YouTube · Labels: Scratching (performance technique), Music

youtube_video IeDOT8b7NiA · row unbalanced_train:IeDOT8b7NiA:140:150

AudioSetunbalanced_train

Mixars Cut2Cut Finals NYC - Woof | Philmatic | Dirty Digits | RTST

Clip 120s to 130s · Open clip on YouTube · Labels: Scratching (performance technique), Sampler, Electronic music, Music

youtube_video L1VqMldgj0U · row unbalanced_train:L1VqMldgj0U:120:130

AudioSetunbalanced_train

Thud Rumble | Skratch Lab | Battle Ave. - Cut 2 Cut San Diego

Clip 40s to 50s · Open clip on YouTube · Labels: Scratching (performance technique), Electronic music, Music

youtube_video sIPizNZVfbE · row unbalanced_train:sIPizNZVfbE:40:50

AudioSetunbalanced_train

AtTheAveTV | Episode 001 | "Port-A-Tablism"

Clip 50s to 60s · Open clip on YouTube · Labels: Scratching (performance technique), Music, Throbbing, Speech

youtube_video tExDRa2v1SY · row unbalanced_train:tExDRa2v1SY:50:60

AudioSetunbalanced_train

Thud Rumble | Battle Ave. | Scratch Cypher LA

Clip 160s to 170s · Open clip on YouTube · Labels: Scratching (performance technique), Music, Scratch

youtube_video vJsvrmHKsJg · row unbalanced_train:vJsvrmHKsJg:160:170

AudioSetunbalanced_train

MusicCaps 1 videos, 1 rows

Thud Rumble | Battle Ave. | 2014 Cut 2 Cut LA Finals

“This music is instrumental. The tempo is fast with a rapid electronic harmony and vigorous digital drum rhythm in the background with turntable arrangement. The harmony is syncopated, repetitive, insistent, psychedelic, trance, trippy and groovy. It is energetic, youthful, contemporary, groovy, vigorous and animated.”

Clip 70s to 80s · Open clip on YouTube

youtube_video E4a3s8NRqUM · row E4a3s8NRqUM:70:80

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/battle-avetm-yt_UCPqPrsrfriDjXJZjviH6spQ

Provenance

JSON export SHA-256 e16338aed54912918518c5943e1ba1674e240e82c368ea42b03ea48176bfadd3

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.