Datasets:
| license: cc-by-nc-4.0 | |
| tags: | |
| - benchmark | |
| - music-generation | |
| - evaluation | |
| size_categories: | |
| - 1G<n<10G | |
| # CTIM-Bench: Benchmark for Traditional Chinese Music Generation | |
| **CTIM-Bench** is a curated evaluation dataset consisting of **500 expert-validated high-fidelity samples**, specifically designed to benchmark music generation models on traditional Chinese instruments. It serves as the test set for the **CTIM-Gen** project. | |
| The dataset features **42.6% minority ethnic instruments** (e.g., Matouqin, Hulusi), reflecting the rich diversity of Chinese musical culture. | |
| ## ⚖️ Data Source & Usage Policy | |
| The audio data in this benchmark was primarily collected from [China Music Network (www.china1901.com)](http://www.china1901.com/), with a small amount supplemented from [Bilibili](https://www.bilibili.com/). | |
| **Important**: This dataset is provided **solely for academic research purposes** in the field of AI music generation. Commercial use is strictly prohibited. By downloading or using this dataset, you agree to these terms. | |
| ## Contents | |
| - **audio/**: Ground truth audio files (30s clips). | |
| - **test_prompts.json**: Metadata containing prompts and file references. | |
| - **Instruments**: Guqin, Guzheng, Matouqin, Hulusi, Pipa, Erhu, Yangqin. | |