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  1. README.md +62 -0
  2. metadata.json +0 -0
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README.md ADDED
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+ # ArtifactNet-Real
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+
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+ Real (human-created) music dataset for AI-generated music detection research.
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+
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+ ## Overview
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+
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+ | Split | Songs | Segments | Size |
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+ |-------|-------|----------|------|
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+ | Train | 15,546 | 70,463 | 47GB |
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+ | Val | 1,943 | 8,075 | 5.4GB |
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+ | Test | 1,944 | 8,384 | 5.6GB |
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+ | **Total** | **19,433** | **86,922** | **~58GB** |
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+
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+ ## Format
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+
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+ - **Audio**: WAV, 44.1kHz, Stereo
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+ - **Segment Duration**: 4 seconds
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+ - **Hop Size**: 2 seconds (50% overlap)
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+
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+ ## Structure
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+
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+ ```
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+ ArtifactNet-Real/
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+ ├── README.md
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+ ├── metadata.json # Song lists per split
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+ ├── train/{song_id}/seg_XXXX.wav
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+ ├── val/{song_id}/seg_XXXX.wav
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+ └── test/{song_id}/seg_XXXX.wav
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+ ```
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+
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+ ## Usage
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+
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+ This dataset provides **Real** (human-created) music samples for training AI music detection models.
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+
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+ To generate Demucs residuals:
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+ ```python
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+ from demucs.pretrained import get_model
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+ from demucs.apply import apply_model
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+
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+ model = get_model('htdemucs')
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+ # residual = original - sum(sources)
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+ ```
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+
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+ ## License
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+
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+ CC-BY-NC 4.0 (Non-commercial use)
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @dataset{artifactnet_real_2026,
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+ title={ArtifactNet-Real: Real Music Dataset for AI Detection},
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+ author={...},
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+ year={2026},
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+ url={...}
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+ }
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+ ```
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+
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+ ## Related
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+
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+ - **ArtifactNet**: AI-generated music detection framework
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+ - **Paper**: [TBD]
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