Datasetpublic

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. 📊 Dataset Overview 1,600+… See the full description on the dataset page: https://huggingface.co/datasets/SoundStock/soundstock.com-music-genres-taxonomy.

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Dataset Card

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.

📊 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

📁 Files

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

🧱 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.

💡 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

📦 Loading with 🤗 Datasets

python

from datasets import load_dataset

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

print(dataset[0])