Datasetpublic

Reubencf/adaption-music-style-prompts

This dataset is a remastered version of Reubencf/fma-labeled prepared using Adaption's Adaptive Data platform. music_style_prompts This dataset contains a collection of descriptive text prompts designed to generate diverse musical tracks across various genres, including pop, techno, ambient, and rock. Each entry details specific instrumentation, rhythmic patterns, atmospheric qualities, and emotional tones to guide audio synthesis. The content serves as a resource Intended for… See the full description on the dataset page: https://huggingface.co/datasets/Reubencf/adaption-music-style-prompts.

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This dataset is a remastered version of `Reubencf/fma-labeled` prepared using Adaption's Adaptive Data platform.

musicstyleprompts

This dataset contains a collection of descriptive text prompts designed to generate diverse musical tracks across various genres, including pop, techno, ambient, and rock. Each entry details specific instrumentation, rhythmic patterns, atmospheric qualities, and emotional tones to guide audio synthesis. The content serves as a resource Intended for training and evaluating music tagging, genre / mood classification, auto-lyrics transcription, music retrieval, and music-text multimodal models.

Dataset size

There are 9,952 data points in this dataset. This is an instruction tuning dataset. While the original Dataset has Total tracks: 29,275

Quality of Remastered Dataset

The final quality is B, with a relative quality improvement of 193.3%.

Domain

—Music (100%)

Language

—English (100%)

Tone

—Descriptive (74%)
—Creative (16%)
—Dramatic (6%)

Evaluation Results

—Quality Gains: <img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/f2cd3648-9b70-4d09-81a7-e8e36e4ddcf8.png" alt="QualityGains" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />

—Grade Improvement: <img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/af2a84be-7cc8-46e4-bf41-58eca8f54093.png" alt="Grade" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />

—Percentile Chart: <img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/820cbd39-7465-4dd8-a037-0bb67382d0d8.png" alt="Percentile Chart" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />

Citation

If you use this dataset in your research or downstream work, please cite:

bibtex

@misc{adaption_music_style_prompts_2026,
  author       = {Fernandes, Reuben Chagas},
  title        = {Adaption Music Style Prompts: Music Style Descriptions for Audio Synthesis},
  year         = {2026},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/Reubencf/adaption-music-style-prompts}}
}

APA-style:

Reuben Chagas Fernandes (2026). Adaption Music Style Prompts: Music Style Descriptions for Audio Synthesis [Dataset]. Hugging Face. https://huggingface.co/datasets/Reubencf/adaption-music-style-prompts