| --- |
| pretty_name: FormulaBank-28K |
| size_categories: |
| - 10K<n<100K |
| task_categories: |
| - feature-extraction |
| tags: |
| - audio |
| - procedural-audio |
| - synthetic-audio |
| - audio-pretraining |
| --- |
| |
| # FormulaBank-28K |
|
|
| FormulaBank-28K is a deterministic procedural-audio corpus for audio representation pre-training. It contains **28,000** mono clips at 16 kHz, each exactly 10.24 seconds long. |
|
|
| ## Configuration |
|
|
| - **Version:** `C125-I224-v1` |
| - **Formula classes:** 125 |
| - **Renderings per class:** 224 |
| - **Total clips:** 28,000 |
| - **Audio format:** lossless 24-bit FLAC |
| - **Source:** frozen `AudioPG-Atomic-H7-C224-R0-Clean` FormulaBank manifest |
|
|
| Each formula class specifies an acoustic rendering rule. Each rendering varies controlled nuisance factors such as pitch, duration, gain, onset, phase, and family-specific parameters. The published metadata records the class identity, instance ID, deterministic render seed, sampled parameters, and audio checksum for every clip. |
|
|
| ## Layout and loading |
|
|
| Audio is stored below `audio/`, with `metadata.jsonl` at repository root. The `file_name` field is relative to the repository root. |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("KevinJustin/FormulaBank-28K", split="train") |
| audio = ds[0]["audio"] |
| ``` |
|
|
| ## Reproducibility |
|
|
| `metadata/subset_c125_i224_v1.json` freezes the selected 125 classes. `metadata/generation_manifest.json` records the source FormulaBank and generator hashes. Together with `reproduce/export_formulabank_28k_hf.py`, these files reproduce the procedural source configuration without relying on model checkpoints. |
|
|
| ## Intended use and limitations |
|
|
| The corpus is intended for controlled audio pre-training, scaling studies, and analysis of synthetic-to-real transfer. It does not contain natural recordings, speech transcripts, environmental labels, or benchmark test data. It is not a substitute for natural-audio coverage and should not be used to infer real-world demographic, linguistic, or environmental distributions. |
|
|
| ## License |
|
|
| The release license will be specified by the dataset maintainers before a public research release. Until then, please do not redistribute derived copies outside the Hugging Face repository. |
|
|
