Datasets:
audio audio |
|---|
YAML Metadata Warning:The task_categories "audio-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
overflow — integer overflow is oscillation
A phase accumulator that folds back around max int is a sawtooth oscillator — the beating heart of every digital synth.
This dataset contains audio recordings of the four "rungs" of the overflow ladder:
| file | rung | character |
|---|---|---|
overflow-int8.wav |
int8 | coarse, buzzy, stepped — 256 levels of fold |
overflow-int16.wav |
int16 | fuller, rounder |
overflow-int32.wav |
int32 | smooth |
overflow-float.wav |
float | glassy — the fold with no floor under it |
Each file is 15 seconds, 44.1kHz mono WAV. Generated from overflow.py in peterlodri-sec/overflow.
Concept: An integer that overflows back to zero oscillates. This is the same mechanism that powers every digital synthesizer. The script walks the ladder from 8-bit through floating-point, feeding the oscillator its own output (FM feedback) and a synthetic room input.
python overflow.py --record out.wav 15
Source: https://github.com/peterlodri-sec/overflow
Infrastructure
Model API provider: CometAPI Usage: Teacher-model inference / evaluation Models: Qwen / DeepSeek API: OpenAI-compatible And you can link CometAPI here: https://www.cometapi.com/ If you end up publishing a lot of models/datasets using it, this simple format is totally fine.
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