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THCHS-30-tests / README.md
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# THCHS-30 Test Set
THCHS-30 test split for Mandarin Chinese speech recognition benchmarking.
## Dataset Info
- **Language:** Mandarin Chinese (zh-CN)
- **Samples:** 2,495
- **Speakers:** 10
- **Sample Rate:** 16 kHz
- **License:** Apache 2.0
## Usage
```python
from datasets import load_dataset
# After uploading to HuggingFace
dataset = load_dataset("your-username/thchs30-test")
# Example
print(dataset['train'][0])
# {
# 'audio': {'array': [...], 'sampling_rate': 16000, 'path': 'audio/D11_750.wav'},
# 'text': '东北军 的 一些 爱国 将士 马 占 山 李杜 唐 聚 伍 苏 炳 艾 邓 铁梅 等 也 奋起 抗战'
# }
```
## Benchmark Results
Tested with FluidAudio CTC zh-CN model (parakeet-ctc-0.6b-zh-cn):
- **Mean CER:** 8.37% (100 samples)
- **Median CER:** 6.67%
- 69% of samples achieve <10% CER
## Citation
```bibtex
@article{wang2015thchs,
title={THCHS-30: A Free Chinese Speech Corpus},
author={Wang, Dong and Zhang, Xuewei},
journal={arXiv preprint arXiv:1512.01882},
year={2015}
}
```
## Source
- Original dataset: http://www.openslr.org/18/
- Paper: https://arxiv.org/abs/1512.01882
This repository contains only the test split for easier benchmarking.