README.md

# JAME Dataset

**JAME** (JAM Evaluation) is a comprehensive music dataset containing 250 high-quality music tracks designed for **standardized evaluation of song generation models**.

This dataset is part of **Project Jamify** developed by [DeCLaRe Lab](https://github.com/declare-lab/jamify/tree/main) and supports research in controllable music generation.

This dataset supports the research described in:

**JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment**  
*Renhang Liu, Chia-Yu Hung, Navonil Majumder, Taylor Gautreaux, Amir Ali Bagherzadeh, Chuan Li, Dorien Herremans, Soujanya Poria*  
arXiv:2507.20880 (2025)  
🔗 [Paper](https://arxiv.org/abs/2507.20880) | 🔗 [Code](https://github.com/declare-lab/jamify) | 🔗 [Project](https://declare-lab.github.io/jamify)


## Dataset Overview

- **Total Tracks**: 250 carefully curated tracks (50 per genre, 5 genres total)
- **Duration**: Approximately 230 seconds per track  
- **Genres**: Hip-Hop/Rap, Rock/Metal, Electronic/Dance, R&B/Soul/Jazz, Country/Folk
- **Release Time**: select tracks released after 1st May 2025 to avoid data contaimination.
- **Purpose**: Standardized evaluation benchmark for song generation models

## Dataset Structure

```
jame/
├── README.md                 # This file
├── metadata.jsonl           # Complete metadata for all tracks
├── spotify_urls.txt         # Plain text list of Spotify URLs
├── transcriptions/          # JSON transcription files
│   ├── Artist - Title.json
│   └── ...
└── struct/                  # JSON structure analysis files
    ├── Artist - Title.json
    └── ...
```

## Audio Access

Audio files are not directly provided in this dataset. Users can legally access the audio through:
- **Spotify**: Using the provided `spotify_url` links
- **YouTube Music**: Using the provided `youtube_url` links
- **Legal Streaming Services**: Search by artist and title information

Please ensure compliance with terms of service and copyright laws when accessing audio content.

## Metadata Format

Each line in `metadata.jsonl` contains a JSON object with the following fields:

```json
{
  "file_name": "Artist - Title",
  "artist": "Artist Name",
  "title": "Song Title",
  "spotify_url": "https://open.spotify.com/track/...",
  "youtube_url": "https://music.youtube.com/watch?v=...",
  "duration": 180,
  "year": 2025,
  "genre": "Hip-Hop/Rap",
  "transcription_path": "transcriptions/Artist - Title.json",
  "struct_path": "struct/Artist - Title.json",
  "song_id": "spotify_track_id"
}
```

### Field Descriptions

- **file_name**: Base filename without extension
- **artist**: Primary artist name
- **title**: Song title
- **spotify_url**: Official Spotify track URL
- **youtube_url**: YouTube Music URL
- **duration**: Track duration in seconds
- **year**: Release year
- **genre**: Music genre category
- **transcription_path**: Path to transcription JSON file
- **struct_path**: Path to structure analysis JSON file
- **song_id**: Spotify track identifier

## Genre Distribution

The dataset contains 250 tracks evenly distributed across 5 genres (50 tracks per genre):

- **Hip-Hop/Rap** (50 tracks): Urban and rap music
- **Rock/Metal** (50 tracks): Rock, alternative, and metal tracks
- **Electronic/Dance** (50 tracks): Electronic, EDM, and dance music
- **R&B/Soul/Jazz** (50 tracks): R&B, soul, and jazz-influenced tracks
- **Country/Folk** (50 tracks): Country, folk, and acoustic music

## File Formats

- **Metadata**: JSONL (JSON Lines) format with complete track information
- **Transcriptions**: JSON format with detailed transcription data
- **Structure**: JSON format with musical structure annotations
- **URLs**: Plain text file with Spotify URLs for easy access

## License and Attribution

Please ensure proper attribution when using this dataset. Check individual track licenses through their respective Spotify and YouTube Music pages.

## Dataset Statistics

- **Total Duration**: ~15.3 hours (250 tracks × ~230 seconds)
- **Completeness**: 100% metadata coverage for all 250 tracks
- **Quality**: High-quality metadata with detailed annotations
- **Coverage**: Complete Spotify and YouTube URL mapping

## Citation

If you use the JAME dataset in your research, please cite:

```bibtex
@misc{liu2025jamtinyflowbasedsong,
      title={JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment}, 
      author={Renhang Liu and Chia-Yu Hung and Navonil Majumder and Taylor Gautreaux and Amir Ali Bagherzadeh and Chuan Li and Dorien Herremans and Soujanya Poria},
      year={2025},
      eprint={2507.20880},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
      url={https://arxiv.org/abs/2507.20880}, 
}
```

## License and Attribution

This dataset is released under **Project Jamify License** for **non-commercial, academic, and entertainment purposes only**. 

### Key Restrictions:
- **No copyrighted material** was used in a way that would intentionally infringe on intellectual property rights
- **Commercial use strictly prohibited**
- **Attribution required**: Must cite the JAM paper and maintain license notices
- Users must ensure compliance with applicable legal and ethical standards

For complete license terms, see the [Project Jamify repository](https://github.com/declare-lab/jamify).

## Contact

For questions about this dataset:
- 📧 Open an issue on the [Project Jamify GitHub](https://github.com/declare-lab/jamify)
- 🔗 Visit the [DeCLaRe Lab website](https://declare-lab.github.io/jamify)
- 📄 Refer to the [JAM paper](https://arxiv.org/abs/2507.20880) for technical details