Phonk Music Audio Dataset for Generative Audio Model Training

Hundreds of hours of high-quality Phonk music, including Drift Phonk and Hard Phonk subgenres, have been scraped and pre-processed for machine learning. The dataset was created by Prhokbvf556 and last updated on Hugging Face in April 2026. It is formatted for efficient training on hardware like TPUs and GPUs.

Use Cases

• Train Audio Variational Autoencoders (VAEs) from scratch based on the pre-processed audio data.
• Develop Audio Diffusion or Transformer Prior models using the curated Phonk music collection.
• Train EnCodec or TiTok models for audio compression or generation tasks.
• Fine-tune generative audio models on a specific music subgenre like Drift Phonk.

Strengths

• Contains hundreds of hours of audio data, providing substantial training material.
• Audio is described as high-quality and has been heavily pre-processed for training efficiency.
• Specifically curated for Phonk music, a defined genre with subgenres like Drift Phonk and Hard Phonk.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and exact size are unknown, which may limit suitability assessment.
• License information is unknown, which could restrict usage.

Provenance

Source

Hugging Face dataset by Prhokbvf556.

Collection Method

Scraped and pre-processed from unspecified sources.

Time Range

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Freshness

Last updated 2026-04-02 18:17:21; freshness should be verified.

Geography

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