# 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/