FluidInference/THCHS-30-tests

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.