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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.