DeepSData
Dataset guide · Machine learning & corpora

Music_Metadata_and_Lyrics_Dataset

A dataset of over 200,000 songs combining music metadata and artist information, built by MarKos29 from a Kaggle original and enriched via Wikidata scraping.

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Machine learning & corporaFree to access

Key facts

InstitutionMarKos29
CoverageGlobal music works
Time spanMid-20th century to present
ScaleOver 200,000 records, 32.7 MB
LicenseTerms: check the source page
AccessHugging Face

Contents & fields

The dataset contains metadata for over 200,000 songs, each record including song ID, title, artist, release year, album, genre, tags, features, views, duration, language detection results, and artist biographical data from Wikidata (birth year, birth country, sex, band status, awards). Data is provided in CSV format.

  • id——Unique song identifier
  • title——Song title
  • artist——Artist or band name
  • year——Release year
  • album——Album containing the song
  • genre_song——Primary music genre
  • tag——Associated tags or keywords
  • features——Musical or technical features
  • views——Number of views or plays
  • duration_s——Song duration in seconds
  • language_cld3——Language detected by CLD3
  • language_ft——Language detected by FastText

Research uses

Suitable for music information retrieval, music recommendation systems, artist profiling, lyric language identification, and music trend analysis.

Information comes from the source page. Please check that page for current details and terms.

Keywords

music metadatalyricsartist informationWikidataKaggleHugging Face

Access & license

License: Terms: check the source page | Free to access

Why this is hard to get on your own

Obtaining large-scale structured music metadata with artist background, but note the non-commercial license restriction.

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Same domain

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