add dataset

README.md

@@ -1,13 +1,121 @@
 ---
 pretty_name: SongFormBench
+tags:
+  - MSA
+  - Benchmark
+license: "CC-BY 4.0"
+languages:
+  - English
+  - Chinese
+task_categories:
+  - Music Structure Annotation
 ---
 
 # SongFormBench 🏆
 
-**SongFormBench** is the official benchmark for evaluating **music structure annotation** models, designed alongside **[SongFormer](https://huggingface.co/ASLP-lab/SongFormer)**.
+[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
 
-## Resources
 - 📖 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.

README_ZH.md

@@ -0,0 +1,107 @@
+# SongFormBench 🏆
+
+[[English](README.md) ｜ 中文]
+
+**一个高质量的音乐结构分析基准**
+
+[![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)]()
+
+---
+
+## 🌟 什么是 SongFormBench？
+
+SongFormBench 是一个**经过精心整理、由专家标注的基准数据集**，旨在彻底改变音乐结构分析（MSA）的评估方式。我们的数据集为比较 MSA 模型提供了统一标准。
+
+### 📊 数据集构成
+
+- **🎸 SongFormBench-HarmonixSet (BHX)**: 来自 HarmonixSet 的 200 首歌曲
+- **🎤 SongFormBench-CN (BC)**: 100 首中文流行歌曲
+
+**总计：300 首高质量标注歌曲**
+
+---
+
+## ✨ 主要亮点
+
+### 🎯 **统一评估标准**
+- 建立了 **标准化基准**，实现 MSA 模型间的公平比较
+- 消除了评估协议中的不一致性
+
+### 🏷️ **简单标签系统**
+- 采用广泛使用的7类分类系统（如 [arxiv.org/abs/2205.14700](https://arxiv.org/abs/2205.14700) 中所述）
+- 保留 **pre-chorus** 段落以增强粒度
+- 可轻松转换为 7 类（pre-chorus → verse）以保证兼容性
+
+### 👨‍🔬 **专家验证质量**
+- 多源验证
+- 专家标注员手动校正
+
+### 🌏 **多语言覆盖**
+- **首个中文 MSA 数据集**（100 首歌曲）
+- 弥补了中文音乐结构分析的空白
+- 支持跨语言 MSA 研究
+
+---
+
+## 🎼 梅尔频谱图细节
+
+环境配置可参考 BigVGan 的官方实现。如果音频源失效，可使用以下方法重建音频。
+
+### 🎸 SongFormBench-HarmonixSet
+使用官方 HarmonixSet 梅尔频谱图。复现方法如下：
+
+```bash
+# 克隆 BigVGAN 仓库
+git clone https://github.com/NVIDIA/BigVGAN.git
+
+# 进入 utils 目录
+cd utils/HarmonixSet
+
+# 更新 inference_e2e.sh 中的 BIGVGAN_REPO_DIR
+# 运行推理脚本
+bash inference_e2e.sh
+```
+
+### 🎤 SongFormBench-CN  
+使用 [**bigvgan_v2_44khz_128band_256x**](https://huggingface.co/nvidia/bigvgan_v2_44khz_128band_256x) 重建。
+
+```python
+# 查看实现
+utils/CN/infer.py
+```
+
+---
+
+## 🚀 快速开始
+
+### 快速加载
+```python
+from datasets import load_dataset
+
+# 加载完整基准数据集
+dataset = load_dataset("ASLP-lab/SongFormBench")
+```
+
+---
+
+## 📚 资源与链接
+
+- 📖 论文：*即将发布*
+- 💻 代码：[GitHub 仓库](https://github.com/ASLP-lab/SongFormer)
+- 🧑‍💻 模型：[SongFormer](https://huggingface.co/ASLP-lab/SongFormer)
+- 📂 数据集：[SongFormDB](https://huggingface.co/datasets/ASLP-lab/SongFormDB)
+
+---
+
+## 🤝 引用
+
+即将发布。
+
+---
+
+## 📧 联系方式
+
+如有问题、反馈或合作机会，请访问我们的 [GitHub 仓库](https://github.com/ASLP-lab/SongFormer) 或提交问题。

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