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# Melodies Dataset
This directory contains the training, validation, and test datasets for melody generation.
## Directory Structure
- `train/` (80% of data): Training dataset
- `val/` (10% of data): Validation dataset
- `test/` (10% of data): Test dataset
## File Formats
- MIDI files (.mid)
- Each file follows naming convention: `[genre]_[mood]_[key]_[tempo].mid`
Example: `pop_happy_cmajor_120.mid`
## Genre Categories
- pop/
- jazz/
- classical/
## Metadata Format
Each MIDI file should have corresponding metadata:
- Genre
- Key signature
- Tempo (BPM)
- Mood/emotion
- Time signature
## Data Sources
[To be populated with actual sources]
## Usage
This dataset is used for:
1. Training melody generation models
2. Model evaluation
3. Style transfer experiments
## File Count
- Train: [number] files
- Val: [number] files
- Test: [number] files
## Notes
- All MIDI files are quantized to 16th notes
- Tempo range: 60-180 BPM
- All melodies are monophonic
## Directory Structure
datasets/melodies/
├── README.md
├── train/
│ ├── pop/
│ ├── jazz/
│ └── classical/
├── val/
│ ├── pop/
│ ├── jazz/
│ └── classical/
└── test/
├── pop/
├── jazz/
└── classical/
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