FM
ENT-00001599 · AI Dataset

Free Music Archive Dataset

Free Music Archive Dataset is a music analysis dataset associated with EPFL.

Level IV — ConnectedActiveDocumented
Human readable record

Overview

Free Music Archive Dataset is a documented AI dataset or benchmark associated with EPFL. The record identifies its role in evaluation, training, measurement or comparison of intelligent systems, with emphasis on the source context and the type of capability it helps assess.

Timeline

  1. 2017Free Music Archive Dataset public documentation anchor

    Free Music Archive Dataset appears in public documentation or stable reference sources as a music analysis dataset associated with EPFL.

Capabilities

Data recordEvaluationTechnical reference

Known limitations

The record describes the public identity and documented role of the entity, not private implementation details.Capabilities depend on version, deployment context, access conditions and the available public documentation.
Technical and registry detail

Technical description

Structured record for Free Music Archive Dataset. The technical layer identifies entity type, classification, creator or organization, public source anchors, timeline entry, capabilities, limitations, registry status and graph relationships. Source anchor: https://github.com/mdeff/fma.

Controlled tags

DatasetBenchmarkAI Infrastructure
Relationship graph
Free Music Archive Dataset
Published byEPFL

Free Music Archive Dataset is associated with EPFL through its documented source context.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001599",
    "name": "Free Music Archive Dataset",
    "alternateName": [],
    "additionalType": "AI Dataset",
    "description": "Free Music Archive Dataset is a music analysis dataset associated with EPFL.",
    "creator": "FMA authors",
    "url": "entity.php?id=ENT-00001599",
    "sameAs": "https://github.com/mdeff/fma",
    "lxkeysWorld": {
        "classification": "music analysis dataset",
        "organization": "EPFL",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2017",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:28+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:28+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:28+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Data record",
            "Evaluation",
            "Technical reference"
        ],
        "limitations": [
            "The record describes the public identity and documented role of the entity, not private implementation details.",
            "Capabilities depend on version, deployment context, access conditions and the available public documentation."
        ],
        "tags": [
            "Dataset",
            "Benchmark",
            "AI Infrastructure"
        ],
        "timeline": [
            {
                "date": "2017",
                "title": "Free Music Archive Dataset public documentation anchor",
                "description": "Free Music Archive Dataset appears in public documentation or stable reference sources as a music analysis dataset associated with EPFL."
            }
        ],
        "relationships": [
            {
                "target": "EPFL",
                "type": "Published by",
                "description": "Free Music Archive Dataset is associated with EPFL through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "FMA repository",
                "url": "https://github.com/mdeff/fma",
                "source_type": "Official Repository",
                "verification_status": "verified"
            }
        ]
    }
}
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