Report Khushall1972 built from the datasets alone

Yes. Khushall1972 has 17 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 17

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 Pashtu Classical Rabab Music: Taapi (Old School), Pashto Classical Sathor Music: Rasha Janana Wraaz Dha Dheedhun Dha., Homayun Sakhi Classical Rabab Music (Old School).

AudioSet 17 videos, 17 rows

Pashtu Classical Rabab Music: Taapi (Old School)

Clip 30s to 40s · Open clip on YouTube · Labels: Jazz, Music, Classical music

youtube_video -3mRjmiCpUE · row unbalanced_train:-3mRjmiCpUE:30:40

AudioSetunbalanced_train

Pashto Classical Sathor Music: Rasha Janana Wraaz Dha Dheedhun Dha.

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

youtube_video 3g_nefpDM1k · row unbalanced_train:3g_nefpDM1k:30:40

AudioSetunbalanced_train

Homayun Sakhi Classical Rabab Music (Old School).

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

youtube_video 7jk6FGlbe0c · row unbalanced_train:7jk6FGlbe0c:30:40

AudioSetunbalanced_train

Homayun Sakhi: Classical Rabab Music (Old School)

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

youtube_video 80FpOv7KHIo · row unbalanced_train:80FpOv7KHIo:30:40

AudioSetunbalanced_train

Akbar Hussain Maidani Maijlas: Woss Rana Hiss Naa She هجري میداني ماجلس

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

youtube_video 8zFd1xuSwdA · row unbalanced_train:8zFd1xuSwdA:30:40

AudioSetunbalanced_train

Pashto Saaz: Cha Wail Chi Mazdhighar Dhai (Old School)

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

youtube_video CWTBXByboQc · row unbalanced_train:CWTBXByboQc:30:40

AudioSetunbalanced_train

Pashto Classical Rabab Music: Logarai

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

youtube_video HR3AqOAnGi4 · row unbalanced_train:HR3AqOAnGi4:30:40

AudioSetunbalanced_train

Pashtu Classical Rabab Music: Zama Khkulai Janana (Old School)

Clip 30s to 40s · Open clip on YouTube · Labels: Traditional music, Music, Classical music

youtube_video K9pDyme0Iyk · row unbalanced_train:K9pDyme0Iyk:30:40

AudioSetunbalanced_train

Pashtu Classical Rabab Music: Awaal bha Kala Kala Ghum-Wo (Taapi) (Old School)

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

youtube_video OSpuibr-nTU · row unbalanced_train:OSpuibr-nTU:30:40

AudioSetunbalanced_train

|| 𝐁𝐮𝐠𝐡𝐚𝐫𝐚𝐦 𝐎𝐬𝐭𝐡𝐚𝐚𝐳 || 𝐏𝐚𝐬𝐡𝐭𝐮 𝐁𝐞𝐬𝐭 𝐑𝐚𝐛𝐚𝐛 𝐌𝐮𝐬𝐢𝐜 𝐄𝐯𝐞𝐫 || 𝐒𝐨𝐮𝐧𝐝 𝐎𝐟 𝐏𝐚𝐤𝐡𝐭𝐮𝐧𝐤𝐡𝐰𝐚 || 𝐌𝐚𝐬𝐭 𝐒𝐚𝐚𝐳 ||

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

youtube_video WdbPa8gxK_8 · row unbalanced_train:WdbPa8gxK_8:30:40

AudioSetunbalanced_train

Pukhtu Classical Sathor Music (Instrumental)

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

youtube_video cuND1M8TAj4 · row unbalanced_train:cuND1M8TAj4:30:40

AudioSetunbalanced_train

Pashtu Classical Rabab Music: Raza Chi Yowa Jura Kru Jungarah Pha Zangal Ki (Old School)

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

youtube_video dBTm0L8JzdY · row unbalanced_train:dBTm0L8JzdY:30:40

AudioSetunbalanced_train

Pashtu Maijlas: Pratha Gullona Laaro Ki Shindhalee Dhee Sparlai Dhai (Old School)

Clip 120s to 130s · Open clip on YouTube · Labels: Folk music, Music, Musical instrument, Middle Eastern music

youtube_video s5kaxOalZgs · row unbalanced_train:s5kaxOalZgs:120:130

AudioSetunbalanced_train

Pashtu Classical Rabab Music (Old School)

Clip 30s to 40s · Open clip on YouTube · Labels: Traditional music, Folk music, Music, Classical music

youtube_video uJteHhvOScg · row unbalanced_train:uJteHhvOScg:30:40

AudioSetunbalanced_train

Ahmad Gull Best Ghazal: Hiss Sok Poy Naa Dhee Dha Khpaal Marga هجري میداني ماجلس

Clip 220s to 230s · Open clip on YouTube · Labels: Tabla, Music of Asia, Music

youtube_video wIOYexJokKQ · row unbalanced_train:wIOYexJokKQ:220:230

AudioSetunbalanced_train

Pashto Classical Sathor Music: Taapi (Old School)

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

youtube_video xOSjtIGLftk · row unbalanced_train:xOSjtIGLftk:30:40

AudioSetunbalanced_train

Homayun Sakhi Hujri Maijlas: Classical Rabab Music (Old School)

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

youtube_video xlCHOVUpOg0 · row unbalanced_train:xlCHOVUpOg0:30:40

AudioSetunbalanced_train

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/khushall1972-yt_UCL3zkwRseJ_0SUVD92nI4qQ

Provenance

JSON export SHA-256 07fa0f3a6a024220fb373aa2cdbcb0d36a86c9ccfb14274104454199d8a36f3d

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.