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--- |
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language: |
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- en |
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library_name: diffusers |
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metrics: |
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- PER |
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- WER |
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- SongEval |
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- Audio Aesthetics |
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- MuQ |
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- FAD |
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pipeline_tag: text-to-audio |
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tags: |
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- music |
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- art |
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- song-generation |
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- lyrics-to-song |
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- flow-matching |
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- direct-preference-optimization |
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license: other |
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--- |
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<div align="center"> |
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<img src="https://declare-lab.github.io/jamify-logo-new.png" width="200"/ > |
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<br/> |
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<h1>JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment</h1> |
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<br/> |
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[](https://arxiv.org/abs/2507.20880) [](https://huggingface.co/declare-lab/JAM-0.5) [](https://huggingface.co/datasets/declare-lab/JAME) [](https://huggingface.co/spaces/declare-lab/JAM) [](https://github.com/declare-lab/jamify) [](https://declare-lab.github.io/jamify) |
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</div> |
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# JAME Dataset |
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**JAME** (JAM Evaluation) is a comprehensive music dataset containing 250 high-quality music tracks designed for **standardized evaluation of song generation models**. |
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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. |
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## Dataset Overview |
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- **Total Tracks**: 250 carefully curated tracks (50 per genre, 5 genres total) |
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- **Duration**: Approximately 230 seconds per track |
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- **Genres**: Hip-Hop/Rap, Rock/Metal, Electronic/Dance, R&B/Soul/Jazz, Country/Folk |
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- **Release Time**: select tracks released after 1st May 2025 to avoid data contaimination. |
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- **Purpose**: Standardized evaluation benchmark for song generation models |
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## Dataset Structure |
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``` |
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jame/ |
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βββ README.md # This file |
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βββ metadata.jsonl # Complete metadata for all tracks |
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βββ spotify_urls.txt # Plain text list of Spotify URLs |
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βββ transcriptions/ # JSON transcription files |
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β βββ Artist - Title.json |
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β βββ ... |
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βββ struct/ # JSON structure analysis files |
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βββ Artist - Title.json |
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βββ ... |
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``` |
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## Audio Access |
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Audio files are not directly provided in this dataset. Users can legally access the audio through: |
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- **Spotify**: Using the provided `spotify_url` links |
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- **YouTube Music**: Using the provided `youtube_url` links |
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- **Legal Streaming Services**: Search by artist and title information |
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Please ensure compliance with terms of service and copyright laws when accessing audio content. |
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## Metadata Format |
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Each line in `metadata.jsonl` contains a JSON object with the following fields: |
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```json |
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{ |
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"file_name": "Artist - Title", |
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"artist": "Artist Name", |
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"title": "Song Title", |
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"spotify_url": "https://open.spotify.com/track/...", |
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"youtube_url": "https://music.youtube.com/watch?v=...", |
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"duration": 180, |
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"year": 2025, |
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"genre": "Hip-Hop/Rap", |
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"transcription_path": "transcriptions/Artist - Title.json", |
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"struct_path": "struct/Artist - Title.json", |
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"song_id": "spotify_track_id" |
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} |
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``` |
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### Field Descriptions |
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- **file_name**: Base filename without extension |
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- **artist**: Primary artist name |
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- **title**: Song title |
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- **spotify_url**: Official Spotify track URL |
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- **youtube_url**: YouTube Music URL |
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- **duration**: Track duration in seconds |
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- **year**: Release year |
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- **genre**: Music genre category |
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- **transcription_path**: Path to transcription JSON file |
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- **struct_path**: Path to structure analysis JSON file |
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- **song_id**: Spotify track identifier |
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## Genre Distribution |
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The dataset contains 250 tracks evenly distributed across 5 genres (50 tracks per genre): |
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- **Hip-Hop/Rap** (50 tracks): Urban and rap music |
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- **Rock/Metal** (50 tracks): Rock, alternative, and metal tracks |
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- **Electronic/Dance** (50 tracks): Electronic, EDM, and dance music |
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- **R&B/Soul/Jazz** (50 tracks): R&B, soul, and jazz-influenced tracks |
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- **Country/Folk** (50 tracks): Country, folk, and acoustic music |
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## File Formats |
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- **Metadata**: JSONL (JSON Lines) format with complete track information |
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- **Transcriptions**: JSON format with detailed transcription data |
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- **Structure**: JSON format with musical structure annotations |
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- **URLs**: Plain text file with Spotify URLs for easy access |
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## License and Attribution |
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Please ensure proper attribution when using this dataset. Check individual track licenses through their respective Spotify and YouTube Music pages. |
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## Dataset Statistics |
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- **Total Duration**: ~15.3 hours (250 tracks Γ ~230 seconds) |
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- **Completeness**: 100% metadata coverage for all 250 tracks |
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- **Quality**: High-quality metadata with detailed annotations |
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- **Coverage**: Complete Spotify and YouTube URL mapping |
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## Citation |
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If you use the JAME dataset in your research, please cite: |
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```bibtex |
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@misc{liu2025jamtinyflowbasedsong, |
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title={JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment}, |
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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}, |
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year={2025}, |
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eprint={2507.20880}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.SD}, |
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url={https://arxiv.org/abs/2507.20880}, |
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} |
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``` |
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## License and Attribution |
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This dataset is released under **Project Jamify License** for **non-commercial, academic, and entertainment purposes only**. |
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### Key Restrictions: |
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- **No copyrighted material** was used in a way that would intentionally infringe on intellectual property rights |
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- **Commercial use strictly prohibited** |
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- **Attribution required**: Must cite the JAM paper and maintain license notices |
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- Users must ensure compliance with applicable legal and ethical standards |
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For complete license terms, see the [Project Jamify repository](https://github.com/declare-lab/jamify). |
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## Contact |
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For questions about this dataset: |
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- π§ Open an issue on the [Project Jamify GitHub](https://github.com/declare-lab/jamify) |
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- π Visit the [DeCLaRe Lab website](https://declare-lab.github.io/jamify) |
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- π Refer to the [JAM paper](https://arxiv.org/abs/2507.20880) for technical details |