Repository of stems/multitracks from music to create your own dataset
Datasets search engine
https://datasetsearch.research.google.com/
Up-to-date list of datasets
https://github.com/Yuan-ManX/ai-audio-datasets-list#music
33 datasets compilation list:
https://sites.google.com/site/shinnosuketakamichi/publication/corpus
ZFTurbo’s list (contains duplicates from below):
https://github.com/ZFTurbo/Music-Source-Separation-Training/issues/40
Check out also:
#resources | #datasets (invite)
musdb18-hq (for described errors in the repo read)
https://drive.google.com/file/d/1ieGcVPPfgWg__BTDlIGi1TpntdOWwwdn/view?usp=sharing (14GB 7z)
https://zenodo.org/record/3338373#.Yr2x0aQ9eyU (mirror, 22GB zip, it can be slow at times)
Slakh2100 (2100 tracks), "mono, guitar + piano, and a LOT of other stems, no vocals
If we were to ever train a multiple-source Demucs model, it would be greatly helpful”
“multi-track songs mixed from MIDI using professional sample-based synths. Every track gives you the full mix alongside perfectly isolated, bleed-free stems for synths, bass, drums, and guitars.”
https://drive.google.com/file/d/1baMOSgbqogexZ5VDFsq3X6hgnIpt_bPw/view
https://github.com/ethman/slakh-utils
https://drive.google.com/file/d/1sxdNk0kekvv8FwDvzNypYe6Nf7d40Iek/view?usp=drivesdk
https://zenodo.org/records/4599666
Jammit (torrent)
"the audio files can't be mixed directly. You need to apply a gain reduction of 0.77499997615814209 (in dB : -2.2139662170837942) on each track to get a perfect mixdown. This factor is about to set a 0dB on the original jammit mixtable."
"Total tracks: 240
How often folders exists for track: ('vocals', 239), ('drums', 238), ('bass', 236), ('guitar', 222), ('other_keys', 110), ('piano', 110), ('percussion', 99), ('bowed_strings', 45), ('other', 39), ('wind', 26), ('other_plucked', 7)"
Script to convert MoisesDB in MusDB18 format:
https://gist.github.com/kiselecheck/df62174c5d986afcc5875300fd38bf9a
Cambridge Multitrack Library
https://multitracksearch.cambridge-mt.com/ms-mtk-search.htm
A nice collection of legally available multitracks.
"I believe about 2/3rds of musdb18's tracks are taken from this."
Great for dataset for creating stem specific models like acoustic guitars, electric guitars, piano, etc. You will just get the stem file you want and combine the rest
DAMP-VSEP
https://zenodo.org/record/3553059
Smule Digital Archive of Mobile Performances - Vocal Separation
seems to be a really big dataset of instrumental-amateur vocal-mix with compression and such triplets.
Metapop
https://metapop.com/competitions?p=1&status=ended&type=all
“Most of them have a click through to download stems. You might need to automate downloads using Simple Mass Downloader browser extension or something. Some are remix competitions, some a production, but all have stems."
MedleyDB 2.0
Allegedly zenodo access requests processing can take up to 3 months.
Potentially more datasets
Guitar Hero / Rockband stems
remixpacks.ru / remixpacks.club (taken down, now it’s under https://remixpacks.net/ address [not sure if the site content is the same)
Python script by MissAllure for downloading stems from: https://docs.google.com/spreadsheets/d/1BtUSgPffbcaW4bMuGClYi8FGvaYmYyc1p4SkfpNty-U/edit?gid=0#gid=0 (only 10, but you can change it; saves you from having to open links; written by AI)
Remix packs master post (removed dead links) - still has like 2000+ stems
https://drive.google.com/file/d/11NrElQSjrXT_DbTL00r9OeMrrEBral3V/view?usp=sharing
Torrent:
or here:
magnet:?xt=urn:btih:45a805dbd78b8dec796a0a127c4b4d2466ddbb9a
(list with names:
https://docs.google.com/spreadsheets/d/1uCWmuAUfvVLonbXp9sQUb9dEODYTHmPAOyvGxulMOCA/edit?usp=sharing)
Renamer - python script
https://mega.nz/file/gEgwwaaB#BCDDMpl-VcIZDnNYQziyklOV9Vpf43wuc76hsS3JTlw
Showcase
https://www.youtube.com/watch?v=95Q31HjU04E
Archive.org copy
https://web.archive.org/web/20230105142738/https://telegra.ph/Remixpacks-Collection-Vol-01-04-12-25
Or here (but you can’t access all the sections at the bottom and after some time you get “Unable to load” error; probably using the old Manifest uBlock with blocking specific site element would work, not sure):
(separate downloads)
OG subreddit source along with the file was deleted, and back when it was online, probably it was locked from downloading and scrapping it was difficult.
Q: https://web.archive.org/web/20230105142738/https://telegra.ph/Remixpacks-Collection-Vol-01-04-12-25 contents list? I don’t want to download all of them just to find one thing (genie in a bottle stems)
A:
If there are no seeds, so the torrent is dead, “a major part of these stems are on the songstems telegram chat, including new stems that aren't in these packs”
https://t.me/+mrluHEcfixwwNzRk
“For those that aren't able to d/l the torrents anymore, or just want to d/l some of the remixpacks content,
I uploaded all 26 collections (~3TB) here: https://remixpacks.multimedia.workers.dev/
DM me to request username/password.” Bas Curtiz#5667
https://clubremixer.com/ - outrageously big database, probably reuploads from remixpacks too (but on slow Nitroflare or simply paid irc)
https://songstems.net/ - lots of remixpacks stuff reuploaded from masterposts of clubremixer.com to Yandex (free Nitroflare is 20KB/s)
Mega collection of stems/multitracks (remixpacks - Guitar Hero, Rock Band, OG)
https://docs.google.com/spreadsheets/d/1_dIFNK3LC8A40YK-qCEHhxOCFIbny7Jv4qPEoOKBrIA
Rock Band 4 stems (free Nitroflare mirror)
https://clubremixer.com/rb4-stems/
Different mixing of the RB tracks was a factor in models trained by the community. “Also, RB tracks never fade out. They are also never brickwalled.”
“brickwall audio has negative influence on waveform based archs, but on spectrogram based one like all recents one, it doesn't seem to have big impact on results quality” - jarredou
GH stems from X360 instead of Wii for better quality https://www.fretsonfire.org/forums/viewtopic.php?f=5&t=57010&sid=3917a8e390f65097f07d69595dd5ba55
(free registration required, basically content of all zippyshare links of the PDF below:)
PDF with separate RB3-4 stems description and DL (lots of links are offline as zippyshare is down), page 6 shows some table of content with evaluation progress.
toaz.info-stemspdf-pr_7a1e446f01c9b1666a9bebe9fd51f419.pdf (reupload)
Huge database (probably contains some of the above)
Others:
frp.live instrumentals/acapellas
https://docs.google.com/spreadsheets/d/1NuQV8cfFPehvIwPBUGOMbiC4FSei2p923qC6af5tCV8/
22 instrumental albums and some single tracks (DL) - hard to align for inversion, even for lossless, sometimes time shifts every verse, possible artefacts/bleeding after inversion to be cleaned further with models.
127 hip-hop instrumentals with vocal chops (duplicates from the above), and 80 with scratches or harmonies (DL)
Gilliaan stems for 4 songs (EDM/Dance/House) and Mainstream Dataset with 20 songs:
https://drive.google.com/drive/folders/1JbQRMYH9DT_vUHpf4jHwD80eC6VvpDZX
Mirror (with messages below)
https://discord.com/channels/708579735583588363/1286052299931652106/1304884347492372580
50 Produce Like a Pro multitracks
https://producelikeapro.com/blog/happy-new-year-2022-3/
https://producelikeapro.lpages.co/keep-truckin-multitracks-form/
Potentially more: https://www.youtube.com/playlist?list=PLnLOmVwRMCqS1ia3o9Vv0nG5sMgcFR9Tc
Instrumentals/vocals/stems
- Metal genre dataset
Contact @33meskvlla33 (iirc 2K unique songs)
- (dead) Here is a smaller version of the metal dataset + the validation dataset (there is also not metal in there, but lots of the data is metal oriented)
302 vocals + 802 instrumentals
https://drive.google.com/drive/folders/1TlY1FXP54sVA9T0Kfq0oOXJXq03czxrv?usp=drive_link
If anybody wants to train an instrumental/vocal model on metal, this can get you started (I'm severely limited by my hardware).
A lot of the instrumentals are official instrumental versions of albums
the stuff with my username is from my stempacks except for Omega Virus, Behold the Void and Rings of Saturn (IDK why I named these with that xd)
- mesk dataset reworked (dead)
https://drive.proton.me/urls/D89RY8EEE8#x687Dk7ukX30
“This is the "stem part" of the metal dataset
this contains 255 instrumentals and 242 vocals spanning over:
- 24 albums + 6 songs released officially as stems [a.k.a. the 30 stem packs I legally bought]
- 13 Nail the Mix stem packs (labeled NTM)
- 33 stems from various games, mostly Rockband (labeled RMX)
- 2 tracks from the second part (coming later) I did prematurely, so they’re included [254 and 255, *BLOODHOST* by DARKO US and The Sea Starts Here by The Dali Thundering Concept]
There’s one track without numbering in the "vocals" folder, Crawl by Bad Omens, because it doesn’t have a corresponding instrumental, it’s only vocals.” - Mesk
- Mesk 60GB dataset
https://drive.proton.me/urls/ZFFRW5BRSC#7S8qTF07Cm4d
“This is the new, full version of my dataset. (...) I made it separate into two 30gb RARs.
This contains 1357 instrumentals and 1648 vocals for a total of 3005 files total.
Various things were used, such as :
- official stem packs
- officially released instrumentals
- playthroughs from youtube, to feed compressed files to the model (some of the instrumentals were also mp3 originally but 320 kpbs, these being the Deftones, Catsclaw, Crown Magnetar, Loathe and Cabal instrumentals)
- official stem pack vocals
- inverts of said officially released instrumentals, labeled [METAL-INVERT-VOCALS], cleaned up with 07.2025
- 3 BS-Rofo 07.2025 results, these being : DEITY by DIR EN GREY (its there 2 times) and Sonne by Rammstein
- some of my own vocals, labeled [MESK-VOCS]: these were recorded from my phone, some are reverb heavy, but most of these are just me whispering stuff
- some of Kanye West’s ‘Graduation’ vocals (I did say this dataset was kinda weird)
- Isling's vocals he graciously provided me, thank you :D
- some random vocals, labeled [VOCALS-VARIOUS-IDK] and a random sample from Vulvodynia’s ‘Psychosadistic Design’: track ‘Triple OG Slamdown’, labeled [RANDOM-ASS-SAMPLE]
- the entirety of the Extreme Metal Vocals Dataset
I spent a month on this, so please tell me if I made a mistake! I probably did some at some point haha.
Mistakes found (I’d probably update this message as I go)
1: there's only a partial output of "Frozen Tomb" by Shadow of Intent, the one with vocals.
2: vocal track numbered 34 of my stems, A Viscious Reforming of Features is in mono!
stereo version linked here: https://drive.proton.me/urls/8FMHAXVJF8#df5xtHLvVP0p
3: Food for the Maggots has a sample at the beginning, new version without here:
https://drive.proton.me/urls/Q7A0W1R2DG#pNGOCRMzFuW2
___
- Index of ~7,5K songs in multitracks in the wild - 13.03.2023 (updated link above)
https://krakenfiles.com/view/XiDE82aLOR/file.html (dead)
No download links. Probably some will be available around the net if you search well.
- Here’s a magnet link with some stems:
https://web.archive.org/web/20200606113408/https://pastebin.com/6bZtpvur
- “From the 90s hit maker Moby himself, 500 multitracks (unreleased songs, copyright free):
- Official accapellas, instrumentals and stems
https://infinity101.wolf.usbx.me/filebrowser/share/Q9HHlUB6
- “beatmania the rhythm game makes charts very interestingly because they are all keysounded, but what's interesting is that someone made a chart to reaper project converter
and essentially it just gives you stems. I think people could probably export a shit ton of electronic stems and improve models because there are a LOT of bms charts” src
- Songstems.net Telegram group where you might find some music stems
https://t.me/+mrluHEcfixwwNzRk
- Lots of instrumentals (sometimes with backing vocals) - click
- The Spheres Dataset
(orchestral)
https://zenodo.org/records/17347681
- Metal dataset
https://zenodo.org/records/8406322
760 audio excerpts from 1 to 30 seconds in mono.
“iirc, the audio samples can be very short, it may need pre-processing (merging multiple samples in 1 file) to be used for training”- jarredou
I think mesk did the job already for his dataset (it’s uploaded later below).
Around a hundred of Eminem’s acapellas leaked:
https://drive.google.com/drive/folders/141t33Qa2h3rEi2T0lYokvBPiiDBbC6dQ
Official and unofficial Eminem instrumentals (single links):
Justice (electronic duo) stems
https://archive.org/download/justice-stems
Mesk’s metal dataset (old)
“resharing my metal dataset for people to claw their hands on
https://drive.google.com/drive/folders/1ajlzmyAuX-fsiKiaypN8y2GT8EYBAws5?usp=drive_link
This consists of:
official instrumentals, straight from my stems, what's not labelled with my name are official as well [remixpacks stuff were curated]
vocal folder has official vocals (from the stems again), remixpacks (curated), inverted vocals and some weird whispery sh!t from yours truly”
Mesk’s metal dataset, full:
https://drive.google.com/drive/folders/1ajlzmyAuX-fsiKiaypN8y2GT8EYBAws5?usp=drive_link
“this has 1982 instrumentals and 1807 vocals
Credit to both me and bascurtiz (...) if you decide to use it for various projects. Most of the dataset contents is from his part.
all things titled with my name were 100% legally bought stems.”
https://multitracks.pages.dev/ (only a list, no DL links)
English and Spanish multitracks
- Around 30GB of T.Swft stems (1 (not necessarily a mirror) | 2)
Orchestra:
https://www.upf.edu/web/mtg/phenicx-anechoic
https://web.archive.org/web/20241209233028/https://www.lam.jussieu.fr/Projets/index.php?page=AVAD-VR
https://www.openair.hosted.york.ac.uk/?page_id=310
https://zenodo.org/records/4955282
- Expressive Anechoic Recordings of Speech (EARS) dataset.
- 100 h of speech data from 107 speakers
- high-quality recordings at 48 kHz in an anechoic chamber
- high speaker diversity with speakers from different ethnicities and age range from 18 to 75 years
- full dynamic range of human speech, ranging from whispering to yelling
- 18 minutes of freeform monologues per speaker
- sentence reading in 7 different reading styles (regular, loud, whisper, high pitch, low pitch, fast, slow)
- emotional reading and freeform tasks covering 22 different emotions for each speaker
https://github.com/facebookresearch/ears_dataset
DL:
1 | 2 | 3 | 4 | 5 | 6 | 7 “The dataset is made of 107 zip files that you can download one by one manually”
“What is great with this dataset is that it was recorded in anechoic chamber, so no reverb, no echo, with high-end hardware. You can use it as baseline for reverb removal, speech enhancing, etc...” jarredou
Sites (for general search):
Multitracks’ section of rutracker (requires free account):
https://rutracker.org/forum/tracker.php?f=2492
“You can just go here https://rutracker.org/forum/tracker.php?f=1674 (sample libraries category) and type the instrument you want, it will pop all the sample packs.
Maybe add "loop" to the search too, will filter out some weird packs”
Seems 'acapella tools' or 'instrumental tools' are good key-words to search for.
Multitracks/multitrack queries on The Pirate Bay
https://thepiratebay.org/search.php?q=multitrack&all=on&search=Pirate+Search&page=0&orderby=
https://thepiratebay.org/search.php?q=multitracks&all=on&search=Pirate+Search&page=0&orderby=
You’ll probably find something useful there too (at least 160 lossy/261 lossless, big packs of stems from labels and whole albums with stems)
Some are covers of original tracks, but that shouldn't matter, since they represent the same.
This is on Deezer, but u might find others on Tidal.
There’s also some stuff available on Soulseek (P2P service)
There is a lot of filtered trash, but you can also find official acapellas.
https://www.acapellas4u.co.uk/
Collection of 40K instrumentals and accapellas (lossy, rather avoid using such files for training, and search for lossless if possible)
Multitracks. Looks like paid, but it has also few pages with some free ones (e.g. Fleetwood Mac, not sure if free) “They’re 16kHz mp3s re-encoded to 48kHz”, the same for:
This is also paid, but it has less known music
“those are covers from famous songs, but all in multitracks.
And from what I've listened to so far, is that they are pretty conservative.
The vocals all seem to be dry and none seem to contain bleed so far.
Also, the instrument stems are proper / not mixed up with other instrumentals.
The stems are the exact same duration.
All in all, a solid dataset right off-the-bat imo.
I should've calculated it prior, what the better subscription was, the 10GB or 20GB a day one vs. price vs. content approx. in total.
52mb (wav) * 12 (multitracks) = 624mb per song
4.766 songs * 624 = 2973984 mb = 2.97tb
weekly limit = 70gb * 4 (weeks) = 280gb = 280000mb
2973984 / 280000 = 10,6 weeks in total.
10,6 / 4 = 2,65 so 3 months x $30 = 90 bucks”
https://www.epidemicsound.com/music/search/
Can be ripped. Some tracks there will be a subject to rule out due to bleeding. Plenty of genres. Might be good for diverse dataset.
https://bleep.com/stream/stems
Looks like official stems for sale. ~45 songs in total.
FullSOL (only for premium users; min. 200EU for year)
https://forum.ircam.fr/projects/detail/fullsol/
19,91 GB of audio samples. No percussion.
Instruments: Bass Tuba, Horn, Trombone, Trumpet in C, Accordion, Harp, Guitar, Violin, Viola, Violoncello, Contrabass, Bassoon, Bb Clarinet, Flute, Oboe, Alto Saxophone
(jarredou has it)
Vocals/speech
MedleyVox dataset (for separating different singers) of which they refrain from releasing the model for (and Cyrus eventually did it single-handedly):
https://github.com/CBeast25/MedleyVox (13 different singing datasets of 400 hours and 460 hours of LibriSpeech data for training)
https://zenodo.org/record/7984549
k_multisinger (data folder struct reconstructed to male/female subfolder only. and not includes labels)
for train RoFormer Chorus male/female separator:
https://drive.google.com/file/d/18evyY82ec4IdNT2z8q76zm30EWhfc-9j/view?usp=sharing
k_multitimbre a.k.a. K_multitembre (Original Folder Struct):
https://drive.google.com/file/d/1Ic4P8gCGwbLshR118N8V3tbAU-D9Us-i/view?usp=sharing
Potentially more here:
https://sites.google.com/site/shinnosuketakamichi/home
Be aware that the only one MedleyVox dataset which remains unobtainable to this day is TONAS, but it’s small, esp. compared to the Korean datasets. Besides this one, queer and Cyrus have them all on our Discord, but they’re huge. Ksinger and Ktimbre take ~300GB unzipped for both.
ChoralSynth dataset
https://zenodo.org/records/10137883
- screaming, cheering, applause, whistling, mumble, etc... dataset by jarredou’s (@rigo2) “collected from all the sources I've found, to help model creation:
+5000 stereo wav files, 44100hz
~37 hours of audio data”
Hit him on Discord for the link
- ”Ultimate laugh tracks for sitcoms, game shows, talk shows, and comedy projects (available on Amazon Music and Apple Music (ripped, YT upload has similarly looking spectrograms)
- Laughter-Crowd Dataset #2.zip https://terabox.com/s/1xLuZWvpGX0LTQypO1p7u_g
- There is 768.44 GB of K-pop stems somewhere in the wild (maybe ask .mikeyyyyy)
- Gabox karaoke dataset (2GB)
https://gofile.io/d/TyzaH8 (dead; “i won't upload it again since becruily told me that dataset type 4 (iirc) was the best for karaoke”)
“(may need a check, iirc there were songs without bv, also it doesn't have the vocals part)”
Gabox type 4 karaoke dataset V2 (21GB)
(thanks dca100fb8)
“Some vocals have inst bleed, if someone is willing to help it'd be much appreciated (...)
my dataset "other" folder vocals are private”
- dca100fb8’s WIP Karaoke dataset (30.2GB, 674 pairs)
https://gofile.io/d/OgOxfG (“it might expire soon so remember to download it if it's useful for you”
Reupload: https://gofile.io/d/pSbWEL)
New re-up: https://gofile.io/d/khmSN6
“I apologize for the mistakes in this dataset, there ARE errors like duplicate songs, BVinsts without vocals at all, or LV stems with noise/bleed, or even low quality files, if someone is able to clean this dataset, it would be appreciated. Also I'm aware it has double leads (double stack - 2 lead vocals sang together in mono center channel, layered) which prob shouldn't be kept in the data as it could confuse the AI, while other songs from the list clearly separate lead vocals (thanks gilliaan for noticing), thank you for your comprehension”
- RawStems
https://huggingface.co/datasets/yongyizang/RawStems (DL)
https://github.com/yongyizang/music-source-restoration/blob/main/preprint.pdf (paper)
“A dataset annotation of 578 songs with unprocessed source signals organized into 8 primary and 17 secondary instrument groups, totaling 354.13 hours. To the best of our knowledge, RawStems is the first dataset that contains unprocessed music stems with hierarchical categories”.
- https://sonovox.ai/products/demo-vocal-dataset
“A free demo pack — 50 full vocal stem packs, dry WAV, AI-ready. Completely free to download”.
DnR (speech, music, effects)
Divide and Remaster v3: Multilingual Validation & Test Set
https://zenodo.org/records/12658755
“but there are a bunch of other versions of v3 for specific languages, I'm not sure what is the difference.
There are separate versions for English, Spanish, French, etc.
https://zenodo.org/communities/opencass/records?q=&l=list&p=1&s=10&sort=newest=”
In fact, you can train on validation too, but it’s not necessary anymore as the dataset was published already:
https://github.com/kwatcharasupat/divide-and-remaster-v3/wiki/Getting-the-Dataset