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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':… See the full description on the dataset page: https://huggingface.co/datasets/FluidInference/THCHS-30-tests.

sourceHugging Faceupdated 6mo agoView on Hugging Face

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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.