webxos/audioform_dataset

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Audioform_Dataset_v1

This dataset is the very first output from AUDIOFORM — a Three.js powered 3D audio visualization tool that turns audio files into beautiful, timestamped visual frames with rich metadata. AUDIOFORM by webXOS is available for download in the /audioform/ folder of this repo so developers can create their own similar datasets. Audio for is a synthetic harmonic oscilator that runs in HTML, think of it as the "Hello World" / MNIST-style dataset application for audio-to-visual multimodal machine learning.

This dataset contains 10 captured frames from a short uploaded WAV file (played at 1× speed), together with per-frame metadata including dominant frequency, timestamp, and capture info.

Dataset Structure

audioform_dataset/
├── images/
│   ├── frame_0001.png
│   ├── frame_0002.png
│   └── ... (10 PNG frames total)
├── metadata.csv          # Main metadata file (Hugging Face viewer uses this)
└── README.md

| Column        | Type    | Description                                                                 | Example Value                     |
|---------------|---------|-----------------------------------------------------------------------------|-----------------------------------|
| `file_name`   | string  | Relative path to the visualization PNG (required by Hugging Face)           | `images/frame_0001.png`           |
| `frame_id`    | int     | Sequential frame number (0-based)                                           | 0, 1, 2, …, 9                     |
| `timestamp`   | float   | Time in seconds when the frame was captured from the audio                  | 5.365, 6.219, 9.504               |
| `frequency`   | int     | Dominant / main detected audio frequency at capture time (Hz)               | 0 (in this tiny sample)           |
| `time_scale`  | int     | Playback speed multiplier used during visualization                         | 1                                 |
| `capture_date`| string  | UTC ISO timestamp when the frame was rendered                               | 2026-01-13T19:57:36.427Z          |

See how fast a tiny diffusion model / GAN / LoRA can memorize & regenerate these exact 10 styles. Use the frames as style references for ControlNet, IP-Adapter, or fine-tuning SD to adopt this neon 3D audio-viz aesthetic.

   This dataset shows the **format** AUDIOFORM produces.  
   → Feed it real music, voices, field recordings, synths  
   → Generate 1k–100k+ frames  
   → Add labels (genre, instrument, mood, multiple freq peaks…)  
   → Unlock serious applications:

   - Music video auto-generation  
   - Visual audio classifiers  
   - Audio-conditioned image/video generation  
   - Interactive music → 3D art installations  
   - Novel multimodal music understanding models

Dataset Description

This dataset was generated using AUDIOFORM, a 3D audio visualization system.

• Total Frames: 10
• Generation Date: 2026-01-13
• Audio Type: Uploaded WAV File
• Time Scaling: 1x

Dataset Structure

• images/: Contains all captured frames in PNG format
• metadata.csv: Contains classification data for each frame

Metadata Columns

• file_name: Relative path to the image file (e.g., images/frame_0001.png) - REQUIRED for Hugging Face
• frame_id: Unique identifier for each frame
• timestamp: Time in seconds when frame was captured
• frequency: Audio frequency at capture time (Hz)
• time_scale: Playback speed multiplier
• capture_date: ISO date string of capture

Intended Use

This dataset is intended for training machine learning models on audio visualization patterns, waveform classification, or generative AI tasks.

Generation Details

Generated with AUDIOFORM v1.0 - by webXOS