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metadata
pretty_name: SongFormBench
tags:
  - MSA
  - Benchmark
license: cc-by-4.0
language:
  - en
  - zh

SongFormBench πŸ†

[English ｜ δΈ­ζ–‡]

A High-Quality Benchmark for Music Structure Analysis

Dataset Model GitHub Paper

🌟 What is SongFormBench?

SongFormBench is a carefully curated, expert-annotated benchmark designed to revolutionize music structure analysis (MSA) evaluation. Our dataset provides a unified standard for comparing MSA models.

πŸ“Š Dataset Composition

  • 🎸 SongFormBench-HarmonixSet (BHX): 200 songs from HarmonixSet
  • 🎀 SongFormBench-CN (BC): 100 Chinese popular songs

Total: 300 high-quality annotated songs

✨ Key Highlights

🎯 Unified Evaluation Standard

  • Establishes a standardized benchmark for fair comparison across MSA models
  • Eliminates inconsistencies in evaluation protocols

🏷️ Simple Label System

  • Adopts the widely used 7-class classification system (as described in arxiv.org/abs/2205.14700 )
  • Preserves pre-chorus segments for enhanced granularity
  • Easy conversion to 7-class (pre-chorus β†’ verse) for compatibility

πŸ‘¨β€πŸ”¬ Expert-Verified Quality

  • Multi-source validation
  • Manual corrections by expert annotators

🌏 Multilingual Coverage

  • First Chinese MSA dataset (100 songs)
  • Bridges the gap in Chinese music structure analysis
  • Enables cross-lingual MSA research

🎼 Mel Spectrogram Details

Environment configuration can refer to the official implementation of BigVGan. If the audio source becomes invalid, you can reconstruct the audio using the following method.

🎸 SongFormBench-HarmonixSet

Uses official HarmonixSet mel spectrograms. To reproduce:

# Clone BigVGAN repository
git clone https://github.com/NVIDIA/BigVGAN.git

# Navigate to utils
cd utils/HarmonixSet

# Update BIGVGAN_REPO_DIR in inference_e2e.sh
# Run the inference script
bash inference_e2e.sh

🎀 SongFormBench-CN

Reproduce using bigvgan_v2_44khz_128band_256x

# See implementation
utils/CN/infer.py

πŸš€ Getting Started

Quick Load 

from datasets import load_dataset

# Load the complete benchmark
dataset = load_dataset("ASLP-lab/SongFormBench")

πŸ“š Resources & Links

🀝 Citation

comming soon.

πŸ“§ Contact

For questions, issues, or collaboration opportunities, please visit our GitHub repository or open an issue.