Datasets

Scaled singing dataset introduced with ACE-Opencpop for multi-singer voice synthesis research.

Scaled multi-singer Mandarin singing dataset introduced for large-scale singing-voice synthesis.

Russian-language directory and practical resource for AI music, audio, DAW, analysis, conversion, rhyme, and prompt tools.

Manual beat, melody and chorus annotations for RWC musical pieces.

Crowdsourced low- and high-level acoustic descriptors indexed by MusicBrainz recording identifiers.

Four genre-annotation datasets joining AcousticBrainz features with AllMusic, Discogs, Last.fm and Tagtraum labels.

EPFL DCML corpus of annotated Beethoven piano-sonata scores for computational musicology.

Crowdsourced natural-language captions paired with AudioSet-derived audio clips.

Human-labeled ten-second YouTube segments spanning music, speech and environmental sound classes.

Alliance-operated AI-music chart product; the accessible chart emphasized mainland-China tracks and exposes limited methodology.

Azerbaijani platform presenting registration, provenance, analysis, and protection services for AI-created or altered content including voice and music.

UGent dataset pairing reference music with television query audio for broadcast fingerprinting research.

Annual artist survey from BAM! Popauteurs and academic collaborators covering income, working conditions, and generative-AI use and concern.

User-entered melodies and model-generated four-voice harmonizations contributed through the 2019 Bach Doodle.

Conjunto de Dados de Séries Temporais de Músicas Brasileiras

Dataset combining Spotify-derived acoustic features and processed lyrics for approximately 51,000 Brazilian tracks.

Open MIR dataset of Brazilian rhythmic instruments, solo and multi-instrument recordings across five rhythm styles.

A test-only benchmark converting diverse MIR tasks into standardized music instruction-following evaluation.

Preference data and evaluation for reward models scoring musicality, text alignment and compositional instruction following.

Popular-music signals with lyrics and listener-derived intelligibility scores for the ICASSP 2026 Cadenza Challenge.

Synthetic four-part chamber-ensemble music with mixtures, stems, MIDI and fine-grained performance annotations.

Pozalabs symbolic dataset of 11,144 professional-composer MIDI samples with 12 metadata fields.

Large predominantly Brazilian music database for cover-song and live-song identification, with public metadata and features.

Controlled singing-voice deepfake corpus generated from public singing data with synthesis and voice-conversion systems.

Full-song lyric, vocal-note and audio alignments at note, word, line and paragraph granularity.

Collection of harmonically and formally annotated symbolic music corpora.

Music excerpts and full songs with continuous and song-level valence and arousal annotations.

Pop-piano audio and MIDI clips labeled for perceived emotion, supporting recognition and emotion-conditioned generation.

Synchronized egocentric audiovisual dataset for music understanding and hearing-enhancement research.

Curated and annotated corpus of traditional Georgian vocal music for computational musicology and MIR tasks.

Expanded human drum-performance corpus with MIDI-aligned audio rendered across 43 drum kits.

Open human-labeled Freesound clips across 200 AudioSet-ontology classes, including many musical sounds.

MusicCaps prompts regenerated with multiple text-to-music systems for synthetic-music detection and generator attribution.

Full-length Creative Commons music with audio, features, metadata and hierarchical genre labels for MIR.

Classical-guitar audio, scores and high-resolution MIDI alignments for transcription research.

Machine-transcribed solo-piano MIDI derived from web recordings and IMSLP work metadata.

Human-performed expressive drum MIDI with aligned synthesized audio and performance metadata.

Acoustic-guitar recordings with hexaphonic audio and time-aligned note, chord, beat and technique annotations.

A NeurIPS challenge and evaluation suite for general-purpose audio representations across speech, sound and music tasks.

Paired audio and MIDI dataset of Norwegian Hardanger fiddle material for automatic music transcription research.

A completed grand challenge for predicting overall and five fine-grained human aesthetic ratings of AI-generated songs.

A completed challenge to predict lyric intelligibility for popular music, including listeners with hearing loss.

Fraunhofer IDMT dataset for chord-recognition research.

Fraunhofer IDMT dataset for drum transcription research.

Japanese multispeaker singing corpus with recordings from 100 singers.

Kazakh emotional speech dataset for text-to-speech synthesis with six labeled emotions.

Gated non-commercial dataset of manually aligned Kazakh sung-vocal audio and text for ASR research.

Large deduplicated MIDI collection with matched and aligned subsets linked to the Million Song Dataset.

Multi-generator, multi-domain, multilingual, multicultural, multi-genre and multi-instrument music-detection databases.

Large music-aesthetics benchmark with multi-dimensional professional ratings and textual comments.

Paired piano audio and high-precision MIDI from International Piano-e-Competition performances.

A unified evaluation suite for pretrained music-audio representations across acoustic, performance, score and high-level tasks.

Pozalabs MIDI dataset of 4,422 professional-writer samples for fine-level dynamics control.

Dataset of 1,000 Chinese karaoke song clips with separated accompaniment/vocal channels and manual annotations.

A multi-domain benchmark of expert audio understanding and reasoning spanning speech, environmental sound and music.

Expert-created audio questions covering speech, sound, music, mixtures, spatial audio and long-form reasoning.

Full-length stereo music mixtures with isolated drums, bass, vocals and other stems for source separation.

Open benchmark and software package for reproducible evaluation of musical-score inpainting systems.

Magnatune audio clips with human tags collected through the TagATune game for music auto-tagging research.

Chord, structure and feature annotations for a sampled set of Billboard-chart songs.

Annotated royalty-free multitrack recordings supporting melody, pitch, instrument and source-separation research.

Audio features and metadata for one million contemporary popular-music tracks, without distributed audio.

Multitrack music dataset with a hierarchical stem taxonomy for fine-grained source-separation research.

Human-validated multiple-choice questions for evaluating music understanding and reasoning in audio-language models.

A live pairwise evaluation platform and rolling leaderboard for text-to-music generation systems.

Rolling human preference data from live pairwise comparisons of text-to-music model outputs.

Multimodal music features and large-scale Last.fm listening histories extending Music4All.

Music audio-text pairs expanding MusicCaps with extracted musical features and augmentation for controllable generation.

Dataset of 5.5k music clips with expert-written text captions

Classical recordings aligned to score-derived note, instrument and metrical-position labels.

Rights-cleared music data infrastructure for AI services, music supply and API integration.

Annotated four-second musical-note audio for timbre modeling, synthesis, and audio representation research.

Annual Dutch music-consumer monitor commissioned or published by NVPI, with recurring measures of attitudes toward AI-generated music.

Creative Commons music excerpts partially labeled for presence or absence of 20 instrument classes.

Studio-recorded Mandarin singing corpus with 100 songs and phoneme, note and pitch annotations.

Subset of the IRCAM Studio Online instrument-note collection prepared for orchestration research.

Dataset of higher-order ambisonics room impulse responses, ambient noise and spherical pictures.

Large MusicXML collection of scores labeled public domain, with score and user-interaction metadata.

Phoneme-balanced Japanese singing-voice corpus licensed CC BY-SA 4.0.

Professional piano arrangements of 909 popular songs with aligned MIDI and structural annotations.

AIST research database containing six collections and 315 recorded musical pieces.

Hierarchical expert structural annotations for a large and stylistically diverse music collection.

Dataset of historical samba-enredo recordings created for MIR research on Brazilian music.

The inaugural controlled and in-the-wild singing-voice deepfake detection challenge held with IEEE SLT 2024.

Open annotated audio corpora for Carnatic and Hindustani music research.

In-the-wild real and deepfake singing data for singing-voice authenticity detection.

Synthetic multitrack audio and aligned MIDI rendered from Lakh MIDI files for separation and transcription.

Crowdsourced human descriptions of Creative Commons music for music-language evaluation.

Chinese-English pretraining dataset containing lyrics, melodies and paired lyric-melody data for SongComposer.

Full-length real and generated songs with expert ratings across five aesthetic dimensions.

A completed AIcrowd challenge with music and cinematic source-separation tracks and hidden evaluation sets.

Dataset of AI-generated music from queer-identity prompts for auditing text-to-music models.

One million anonymized public playlists released for automatic playlist continuation research.

Metadata and downloadable links for 659,788 Suno-generated songs discovered through systematic search queries.

Annotated corpus of traditional Georgian vocal polyphony intended for computational musicology and MIR research.

Compact dataset of isolated instrumental notes published through IRCAM Forum.

東北きりたん歌唱データベース

Research singing database used to create the Tohoku Kiritan library distributed with NEUTRINO.

Search corpus of more than 23,000 Irish traditional music tunes used by Tunepal.

Coordinated multi-instrument classical performances with separated audio, assembled video, scores and pitch annotations.

A cappella singing recordings across singers, vowels, registers and vocal techniques, with a corrected annotated derivative.

Large weakly labeled audio-caption corpus assembled from web sound libraries and AudioSet, with ChatGPT-assisted caption cleaning.

In-the-wild singing voice deepfake detection data extending SingFake for the SVDD 2024 challenge.