SoundStock/soundstock.com-music-genres-taxonomy

SoundStock Music Genres Taxonomy

A large, structured, and extensible music genre taxonomy dataset designed for music tagging, classification, search, recommendation systems, and audio / music machine learning workflows.

This dataset provides a hierarchical view of music genres, including root genres, subgenres, and expanded variants (style, era, region, and fusion), with stable IDs suitable for long-term use in production systems.

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📊 Dataset Overview

• 1,600+ genres
• Hierarchical structure (root → subgenre → expanded variants)
• Stable, deterministic genre_id values
• Designed for:
  • Music classification
  • Metadata enrichment
  • Audio ML / MIR tasks
  • DAWs, music libraries, tagging systems
  • Search and recommendation pipelines

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📁 Files

• music_genres_taxonomy.csv — primary tabular dataset
• music_genres_taxonomy.jsonl — JSON Lines format for ML pipelines

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🧱 Schema

Column	Description
genre_id	Stable unique genre identifier
name	Human-readable genre name
level	0 = root, 1 = subgenre, 2 = expanded variant
parent_genre_id	Parent genre ID (empty for roots)
root_genre_id	Top-level genre category
root_name	Top-level genre name
region	Optional regional modifier
era	Optional era modifier (e.g. 90s, 2000s)
tags_mood	Mood tags (comma-separated)
tags_context	Context/use-case tags (comma-separated)
bpm_min	Approximate BPM minimum (if applicable)
bpm_max	Approximate BPM maximum (if applicable)
aliases	Alternative names / spellings
path	Human-readable hierarchy path
notes	Row provenance (root, subgenre, expansion)

⚠️ Mood tags and BPM ranges are approximate convenience metadata, intended for filtering and discovery rather than musicological precision.

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💡 Use Cases

• Genre classification models
• Audio tagging and metadata normalization
• Music library organization
• Search and discovery systems
• Training or evaluating MIR pipelines
• Genre embeddings and clustering

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📦 Loading with 🤗 Datasets

from datasets import load_dataset

dataset = load_dataset(
    "SoundStock/soundstock.com-music-genres-taxonomy",
    split="train"
)

print(dataset[0])