README.md

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

# SongFormBench 🏆

[English ｜ [中文](README_ZH.md)]

**A High-Quality Benchmark for Music Structure Analysis**

[![Dataset](https://img.shields.io/badge/🤗%20Dataset-SongFormBench-blue)](https://huggingface.co/datasets/ASLP-lab/SongFormBench)
[![Model](https://img.shields.io/badge/🤗%20Model-SongFormer-green)](https://huggingface.co/ASLP-lab/SongFormer)
[![GitHub](https://img.shields.io/badge/GitHub-Repository-black)](https://github.com/ASLP-lab/SongFormer)
[![Paper](https://img.shields.io/badge/📖%20Paper-Coming%20Soon-orange)]()

---

## 🌟 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.

### 📊 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](https://arxiv.org/abs/2205.14700)
)
- Preserves **pre-chorus** segments for enhanced granularity
- Easy conversion to 7-class (pre-chorus → verse) for compatibility

### 👨‍🔬 **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:

```bash
# 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**](https://huggingface.co/nvidia/bigvgan_v2_44khz_128band_256x)

```python
# See implementation
utils/CN/infer.py
```

---

## 🚀 Getting Started

### Quick Load
```python
from datasets import load_dataset

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

---

## 📚 Resources & Links

- 📖 Paper: *coming soon*
- 💻 Code: [GitHub Repository](https://github.com/ASLP-lab/SongFormer)
- 🧑‍💻 Model: [SongFormer](https://huggingface.co/ASLP-lab/SongFormer)
- 📂 Dataset: [SongFormDB](https://huggingface.co/datasets/ASLP-lab/SongFormDB)

---

## 🤝 Citation

comming soon.

---

## 📧 Contact

For questions, issues, or collaboration opportunities, please visit our [GitHub repository](https://github.com/ASLP-lab/SongFormer) or open an issue.