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
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
@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.