LeData/media-metadata-artists

Unified Music Artists

Cross-database artist dataset unifying MusicBrainz, TheAudioDB, Metal Archives, ProgArchives, Jazz, Classical Composers, Bandcamp, SoundCloud, and YouTube Music into one row per artist with flat canonical ID columns.

1,662,320 total rows — full outer union across all sources.

Canonical ID columns

All nullable — present only when the artist was found in that database:

Column	Source	Type
mb_id	MusicBrainz	UUID string
adb_id	TheAudioDB	string
ma_id	Metal Archives	integer
progarchives_id	ProgArchives	integer
jazz_id	Jazz DB	slug string
classical_id	Classical Composers DB	integer
bandcamp_id	Bandcamp (Wikidata P3283 + scraped)	subdomain slug
soundcloud_username	SoundCloud (Wikidata P3040 + scraped)	permalink slug
soundcloud_id	SoundCloud	numeric user ID
youtube_channel_id	YouTube (Wikidata P2397)	channel ID

Coverage

Source	Matched to MB	Unmatched (orphan rows)	Total contributed
MusicBrainz	1,520,428 (primary)	—	1,520,428
Metal Archives	16,391 (medium)	+114,751	131,142
Classical Composers DB	4,135 (medium)	+11,527	15,662
ProgArchives	4,762 (medium)	+5,681	10,443
Jazz DB	317 (medium)	+7,642	7,959
TheAudioDB	10,007 (hard) + 858 (medium)	+2,291	13,156

Methodology

Source priority

MusicBrainz is the primary source — it has the most complete structured data (aliases, IPI/ISNI codes, begin/end dates, relationships, tags). All other sources are joined against MusicBrainz rows first; unmatched rows from each secondary source are appended as orphan rows (full outer union).

Cross-database matching

Hard links — MusicBrainz ID

TheAudioDB stores the MusicBrainz UUID directly. When present, it is the sole join key — no name comparison needed. 10,007 artists matched this way.

Platform ID mapping via Wikidata SPARQL

A single Wikidata SPARQL query retrieves all items with a MusicBrainz artist ID (P434) cross-referenced to Bandcamp (P3283), SoundCloud (P3040), or YouTube channel ID (P2397), yielding ~53,000 MB→platform mappings in one request.

Confidence-scored soft matching

For Metal Archives, ProgArchives, Jazz, and Classical sources (which do not store MusicBrainz IDs), rows are matched using a three-tier system:

Medium confidence (corroborated) — name exact match plus at least one of:

• Same ISO 3166-1 alpha-2 country (all sources normalised to alpha-2 before comparison)
• begin_date / formed_year / birth within 2 years of MB begin_date
• MB alias list contains the candidate's normalised name

Rejected (name matched but hard-rejected by a signal):

Hard-reject rule	Rationale
Begin/birth year diff > 2 years	Different entity with same name
Candidate end_year predates MB begin_year	Dissolved before the other was founded
Genre-family clash: classical ↔ metal, classical ↔ jazz	Implausible same entity
MB type=Person, candidate has members > 1	Solo artist matched to a group

Name-only matches (no corroborating signal) are never accepted.

Hard-reject counts (name matched, rejected by signals)

Source	Rejected name-only matches
Metal Archives	21,079
ProgArchives	11,133
TheAudioDB	9,637
Jazz DB	7,520
Classical	4,669
Total	54,038

These 54,038 name collisions would have been false-positive merges under naive name+country matching. Common band names ("Chaos", "Oblivion", "Inferno", "Phoenix") appear dozens of times across countries and eras — year and genre signals correctly separate them.

Country normalisation

All sources use different country formats. Everything is normalised to ISO 3166-1 alpha-2 before comparison:

• Classical uses alpha-3 (ITA→IT, DEU→DE, GBR→GB, ENG→GB, RUS→RU)
• ProgArchives uses full names (Italy→IT, United Kingdom→GB)
• MusicBrainz and TheAudioDB already use alpha-2

The country field in the output is always alpha-2 (or null).

Special-purpose exclusions

Excluded from the dataset:

• [unknown], [no artist], Various Artists
• Any name in bracket notation ([data], [anonymous], [traditional], etc.)
• Disambiguation containing "special purpose artist" or "language instruction"

Field reference

Field	Notes
sources	List of database names that contributed to this row
type	Person / Group / Orchestra / Choir (from MB)
country	ISO 3166-1 alpha-2
begin_date / end_date	ISO date strings
ended	Boolean — true if the artist/group has dissolved
tags	Genre/style tags from MusicBrainz
genres / themes	Metal Archives genre and lyrical theme strings
prog_genre / jazz_genre / classical_period	Source-specific genre fields
ipi_codes / isni_codes	Music industry identifiers (MB only)
aliases	All known alternate names (MB)

Usage

from datasets import load_dataset

ds = load_dataset("TigreGotico/media-metadata-artists", split="train")

# Classical composers with MB IDs
composers = ds.filter(lambda r: r["classical_id"] is not None and r["mb_id"] is not None)

# Metal bands with both MB and MA IDs
metal = ds.filter(lambda r: r["mb_id"] and r["ma_id"])

# Artists with Bandcamp pages
bc = ds.filter(lambda r: r["bandcamp_id"] is not None)

# Artists on all three streaming platforms
triple = ds.filter(lambda r: r["bandcamp_id"] and r["soundcloud_username"] and r["youtube_channel_id"])