Report Zee Marathi 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 जिवदानी देवीमाता दर्शन आणि संपूर्ण माहिती | Religious Places of Maharashtra | Milind Gunaji, Satyapal Maharaj Kirtan | सत्यपाल महाराज कीर्तन | Zee Marathi, Dilya Ghari Tu Sukhi Raha | Zee Marathi TV Serial | Full Ep - 195 | Bhakti, Saurabh
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 जिवदानी देवीमाता दर्शन आणि संपूर्ण माहिती | Religious Places of Maharashtra | Milind Gunaji, Satyapal Maharaj Kirtan | सत्यपाल महाराज कीर्तन | Zee Marathi
Clip 480s to 490s · Open clip on YouTube · Labels: Wind instrument, woodwind instrument, Shofar
youtube_video 5xAzHL8Zlcs · row balanced_train:5xAzHL8Zlcs:480:490
AudioSetbalanced_train
Clip 450s to 460s · Open clip on YouTube · Labels: Carnatic music, Music
youtube_video pzm90xLX9HM · row eval:pzm90xLX9HM:450:460
AudioSeteval
Clip 570s to 580s · Open clip on YouTube · Labels: Cymbal, Music, Speech
youtube_video 1AgiNSV53v4 · row unbalanced_train:1AgiNSV53v4:570:580
AudioSetunbalanced_train
Clip 50s to 60s · Open clip on YouTube · Labels: Music, Speech, Inside, large room or hall
youtube_video 2KcpY5EgNCU · row unbalanced_train:2KcpY5EgNCU:50:60
AudioSetunbalanced_train
Clip 30s to 35s · Open clip on YouTube · Labels: Music, Speech
youtube_video 39Dn7NbCNDU · row unbalanced_train:39Dn7NbCNDU:30:35
AudioSetunbalanced_train
Clip 200s to 210s · Open clip on YouTube · Labels: Music, Speech, Inside, small room
youtube_video 3mKaYXP9zc4 · row unbalanced_train:3mKaYXP9zc4:200:210
AudioSetunbalanced_train
Clip 280s to 290s · Open clip on YouTube · Labels: Music, Speech, Inside, small room
youtube_video 4d5SWyM4WSQ · row unbalanced_train:4d5SWyM4WSQ:280:290
AudioSetunbalanced_train
Clip 90s to 100s · Open clip on YouTube · Labels: Timpani, Music, Speech
youtube_video 4vervpbEAjA · row unbalanced_train:4vervpbEAjA:90:100
AudioSetunbalanced_train
Clip 180s to 190s · Open clip on YouTube · Labels: Music, Speech, Inside, small room
youtube_video 5lFyWPPUIKs · row unbalanced_train:5lFyWPPUIKs:180:190
AudioSetunbalanced_train
Clip 430s to 440s · Open clip on YouTube · Labels: Music, Singing bowl
youtube_video 5og1HSDnZ5Y · row unbalanced_train:5og1HSDnZ5Y:430:440
AudioSetunbalanced_train
Clip 550s to 560s · Open clip on YouTube · Labels: Music, Music of Bollywood
youtube_video 7XFm7WDvjNI · row unbalanced_train:7XFm7WDvjNI:550:560
AudioSetunbalanced_train
Clip 280s to 290s · Open clip on YouTube · Labels: Music, Speech
youtube_video 8M9lO1pinUo · row unbalanced_train:8M9lO1pinUo:280:290
AudioSetunbalanced_train
Clip 90s to 100s · Open clip on YouTube · Labels: Music, Speech, Inside, small room
youtube_video 9CzbP_wixsk · row unbalanced_train:9CzbP_wixsk:90:100
AudioSetunbalanced_train
Clip 420s to 430s · Open clip on YouTube · Labels: Sitar
youtube_video 9jz0zPrUIVA · row unbalanced_train:9jz0zPrUIVA:420:430
AudioSetunbalanced_train
Clip 580s to 590s · Open clip on YouTube · Labels: Applause, Music, Speech
youtube_video 9lUFrrt7cM4 · row unbalanced_train:9lUFrrt7cM4:580:590
AudioSetunbalanced_train
Clip 200s to 210s · Open clip on YouTube · Labels: Music, Speech, Inside, large room or hall
youtube_video 9yQ6PpuMPa8 · row unbalanced_train:9yQ6PpuMPa8:200:210
AudioSetunbalanced_train
Clip 30s to 35s · Open clip on YouTube · Labels: Music, Speech
youtube_video AGEhxtoUwDA · row unbalanced_train:AGEhxtoUwDA:30:35
AudioSetunbalanced_train
Clip 580s to 590s · Open clip on YouTube · Labels: Music, Violin, fiddle, Speech
youtube_video BCr9C9Yzquk · row unbalanced_train:BCr9C9Yzquk:580:590
AudioSetunbalanced_train
Clip 130s to 140s · Open clip on YouTube · Labels: Singing, Music
youtube_video CT1z4hV6SWU · row unbalanced_train:CT1z4hV6SWU:130:140
AudioSetunbalanced_train
Clip 530s to 540s · Open clip on YouTube · Labels: Music, Speech, Inside, small room
youtube_video EjttK4EELPQ · row unbalanced_train:EjttK4EELPQ:530:540
AudioSetunbalanced_train
Clip 110s to 120s · Open clip on YouTube · Labels: Music, Speech
youtube_video FMXn7MSTaxE · row unbalanced_train:FMXn7MSTaxE:110:120
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Music, Speech, Inside, large room or hall
youtube_video G6-uRCz47Gk · row unbalanced_train:G6-uRCz47Gk:30:40
AudioSetunbalanced_train
Clip 60s to 70s · Open clip on YouTube · Labels: Music
youtube_video JbFG0m_9RFk · row unbalanced_train:JbFG0m_9RFk:60:70
AudioSetunbalanced_train
Clip 200s to 210s · Open clip on YouTube · Labels: Music, Dance music
youtube_video KUrjiFjPdIw · row unbalanced_train:KUrjiFjPdIw:200:210
AudioSetunbalanced_train
Clip 230s to 240s · Open clip on YouTube · Labels: Music, Speech, Inside, small room
youtube_video N8rcP1SvIK0 · row unbalanced_train:N8rcP1SvIK0:230:240
AudioSetunbalanced_train
Clip 130s to 140s · Open clip on YouTube · Labels: Music, Wind instrument, woodwind instrument, Speech
youtube_video O8WHF8xOTsw · row unbalanced_train:O8WHF8xOTsw:130:140
AudioSetunbalanced_train
Clip 170s to 180s · Open clip on YouTube · Labels: Zither, Music, Speech
youtube_video Qis6girOtMY · row unbalanced_train:Qis6girOtMY:170:180
AudioSetunbalanced_train
Clip 50s to 60s · Open clip on YouTube · Labels: Music, Speech
youtube_video RZxr6uqRBqI · row unbalanced_train:RZxr6uqRBqI:50:60
AudioSetunbalanced_train
Clip 490s to 500s · Open clip on YouTube · Labels: Music, Speech
youtube_video RvLWgfznbC0 · row unbalanced_train:RvLWgfznbC0:490:500
AudioSetunbalanced_train
Clip 260s to 270s · Open clip on YouTube · Labels: Music, Speech
youtube_video SeJ-Yu_86xA · row unbalanced_train:SeJ-Yu_86xA:260:270
AudioSetunbalanced_train
Clip 20s to 30s · Open clip on YouTube · Labels: Carnatic music
youtube_video SfBrXAQbAMQ · row unbalanced_train:SfBrXAQbAMQ:20:30
AudioSetunbalanced_train
Clip 480s to 490s · Open clip on YouTube · Labels: Music, Wind instrument, woodwind instrument
youtube_video T5rv2yIN6kg · row unbalanced_train:T5rv2yIN6kg:480:490
AudioSetunbalanced_train
Clip 210s to 220s · Open clip on YouTube · Labels: Music, Speech, Inside, small room
youtube_video VBRagsV28xY · row unbalanced_train:VBRagsV28xY:210:220
AudioSetunbalanced_train
Clip 10s to 20s · Open clip on YouTube · Labels: Ambient music
youtube_video VxdeZ_qrVNE · row unbalanced_train:VxdeZ_qrVNE:10:20
AudioSetunbalanced_train
Clip 40s to 50s · Open clip on YouTube · Labels: Music, Speech, Outside, rural or natural
youtube_video WgNDK8muHcs · row unbalanced_train:WgNDK8muHcs:40:50
AudioSetunbalanced_train
Clip 0s to 10s · Open clip on YouTube · Labels: Music, Inside, large room or hall
youtube_video WnYtH3IUoSk · row unbalanced_train:WnYtH3IUoSk:0:10
AudioSetunbalanced_train
Clip 30s to 35s · Open clip on YouTube · Labels: Music
youtube_video YMcwxpL-iqw · row unbalanced_train:YMcwxpL-iqw:30:35
AudioSetunbalanced_train
Clip 130s to 140s · Open clip on YouTube · Labels: Music, Speech
youtube_video Ya6SpjhsmVY · row unbalanced_train:Ya6SpjhsmVY:130:140
AudioSetunbalanced_train
Clip 30s to 35s · Open clip on YouTube · Labels: Music
youtube_video ZFEfw2D8SbM · row unbalanced_train:ZFEfw2D8SbM:30:35
AudioSetunbalanced_train
Clip 320s to 330s · Open clip on YouTube · Labels: Roar, Music, Inside, large room or hall
youtube_video _h5Xejh8LIs · row unbalanced_train:_h5Xejh8LIs:320:330
AudioSetunbalanced_train
Clip 400s to 410s · Open clip on YouTube · Labels: Music
youtube_video _lFDe3twlxI · row unbalanced_train:_lFDe3twlxI:400:410
AudioSetunbalanced_train
Clip 300s to 310s · Open clip on YouTube · Labels: Music, Speech
youtube_video aFbVN4tDzyM · row unbalanced_train:aFbVN4tDzyM:300:310
AudioSetunbalanced_train
Clip 180s to 190s · Open clip on YouTube · Labels: Music, Speech
youtube_video bR-UDV-jCiM · row unbalanced_train:bR-UDV-jCiM:180:190
AudioSetunbalanced_train
Clip 30s to 40s · Open clip on YouTube · Labels: Electric piano
youtube_video cMaUnc9kd9o · row unbalanced_train:cMaUnc9kd9o:30:40
AudioSetunbalanced_train
Clip 570s to 580s · Open clip on YouTube · Labels: Music, Speech, Inside, small room
youtube_video cxaH7xfsimc · row unbalanced_train:cxaH7xfsimc:570:580
AudioSetunbalanced_train
Clip 10s to 20s · Open clip on YouTube · Labels: Music, Speech
youtube_video erCCXN3_u-g · row unbalanced_train:erCCXN3_u-g:10:20
AudioSetunbalanced_train
Clip 80s to 90s · Open clip on YouTube · Labels: Music, Speech, Inside, small room
youtube_video fo-03cgluRU · row unbalanced_train:fo-03cgluRU:80:90
AudioSetunbalanced_train
Clip 40s to 50s · Open clip on YouTube · Labels: Laughter, Music, Speech
youtube_video iY4LZTzm8ME · row unbalanced_train:iY4LZTzm8ME:40:50
AudioSetunbalanced_train
Clip 50s to 60s · Open clip on YouTube · Labels: Music, Speech
youtube_video j1NluPi6How · row unbalanced_train:j1NluPi6How:50:60
AudioSetunbalanced_train
Clip 560s to 570s · Open clip on YouTube · Labels: Music
youtube_video kvyKlefJmXQ · row unbalanced_train:kvyKlefJmXQ:560:570
AudioSetunbalanced_train
Clip 130s to 140s · Open clip on YouTube · Labels: Music, Speech
youtube_video mF-KzS6GF5c · row unbalanced_train:mF-KzS6GF5c:130:140
AudioSetunbalanced_train
Clip 300s to 310s · Open clip on YouTube · Labels: Music, Speech
youtube_video nZnfsRdVw10 · row unbalanced_train:nZnfsRdVw10:300:310
AudioSetunbalanced_train
Clip 460s to 470s · Open clip on YouTube · Labels: Music, Speech, Inside, small room
youtube_video nyFXfG0qrRo · row unbalanced_train:nyFXfG0qrRo:460:470
AudioSetunbalanced_train
Clip 220s to 230s · Open clip on YouTube · Labels: Singing, Music
youtube_video oSqpPFON2Y4 · row unbalanced_train:oSqpPFON2Y4:220:230
AudioSetunbalanced_train
Clip 510s to 520s · Open clip on YouTube · Labels: Music, Speech
youtube_video qnNNV8p9f7c · row unbalanced_train:qnNNV8p9f7c:510:520
AudioSetunbalanced_train
Clip 280s to 290s · Open clip on YouTube · Labels: Music, Jingle, tinkle, Speech
youtube_video rJQjj74qUlY · row unbalanced_train:rJQjj74qUlY:280:290
AudioSetunbalanced_train
Clip 230s to 240s · Open clip on YouTube · Labels: Music, Speech
youtube_video uVJML-u2tCc · row unbalanced_train:uVJML-u2tCc:230:240
AudioSetunbalanced_train
Clip 170s to 180s · Open clip on YouTube · Labels: Music
youtube_video vDILCBwmShU · row unbalanced_train:vDILCBwmShU:170:180
AudioSetunbalanced_train
Clip 420s to 430s · Open clip on YouTube · Labels: Music, Speech, Outside, rural or natural
youtube_video wW7t5Knd2oU · row unbalanced_train:wW7t5Knd2oU:420:430
AudioSetunbalanced_train
Clip 50s to 60s · Open clip on YouTube · Labels: Harpsichord, Music, Speech
youtube_video xgiEnmpbuhg · row unbalanced_train:xgiEnmpbuhg:50:60
AudioSetunbalanced_train
Clip 80s to 90s · Open clip on YouTube · Labels: Music, Ding-dong, Speech
youtube_video yTGG8ghPFPw · row unbalanced_train:yTGG8ghPFPw:80:90
AudioSetunbalanced_train
“This audio contains a male voice talking. Then a short section of an orchestra is playing with a brass section and a lot of percussive hits. It instantly changes to someone playing a long note on a horn in a higher key. This is an amateur recording and may be playing during a documentary.”
Clip 480s to 490s · Open clip on YouTube
youtube_video 5xAzHL8Zlcs · row 5xAzHL8Zlcs:480:490
MusicCaps
“The low quality recording features a live performance of a traditional song and it consists of passionate male vocal, alongside passionate background male vocal singing over sustained accordion melody and some tinny percussive elements. Even though it is a bit distorted, mono and noisy, it still sounds soulful.”
Clip 450s to 460s · Open clip on YouTube
youtube_video pzm90xLX9HM · row pzm90xLX9HM:450:460
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 dc4a0eb392f916d7e8d85a477c1d7936820c1a5dcc89d0e29babba16252b4df4
| 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.