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Audio Dataset: Various Music Genres

This dataset delivers 500,000 studio-grade music tracks in lossless FLAC format, spanning mainstream, indie, and world-music catalogs.

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  • Audio
    500,000
  • Machine Learning
  • Audio Processing
  • ASR
  • Voice Recognition
  • Audio
    500,000

Dataset Info

Characteristic Data
Description Music tracks covering multiple eras, genres, regions, and instrumental combinations.
Data types Audio
Tasks Speech recognition, Music Generation
Number of audio files 500,000
Labeling Metadata (id, name, audio_format, genres, var_tags, instruments, vocal_instrumental, artist_name, album_id, gender, duration, release date, acoustic electric, album_name, speed, language)
Gender Male, Female
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Statistics

Distribution by gender
Distribution by speed

Technical
Characteristics

Characteristic Data
Audio Format FLAC
Bit Depth 16-bit / 24-bit
Sampling Rate 44.1 kHz or higher (48 kHz for ~20 % of tracks)
Number of Channels Stereo
Source and collection methodology: Data was collected via crowdsourcing platforms.

Industries

Entertainment Industry

  • Streaming Platforms:

    Power recommendation algorithms and curated playlists with diverse, high-fidelity tracks.

  • Film/TV/Gaming Licensing:

    Source genre-specific music for soundtracks, trailers, and in-game atmospheres.

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E-commerce and Retail

  • Background Music Systems:

    Curate in-store playlists by mood, genre, or customer demographics.

  • Voice Commerce:

    Integrate music samples for product demos (e.g., smart speakers playing track previews).

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