Datasets:
dataset_info:
features:
- name: site_id
dtype: string
- name: site
dtype: string
- name: subgrouping
dtype: string
- name: sentences
list: string
splits:
- name: train
num_bytes: 1372950
num_examples: 1247
download_size: 510415
dataset_size: 1372950
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- zh
task_categories:
- automatic-speech-recognition
tags:
- chinese-dialects
- benchmark
license: other
中國語言保護 YuBao: A New Chinese Dialect Speech Benchmark
The Chinese Language Resources Protection Project Collection and Display Platform (nicknamed YuBao / 語保) contains speech, dialect transcripts, phonetic (IPA) transcriptions, and Mandarin translations across 1,300+ sites in China.
This repository (yubao_sites) contains the metadata for all Chinese dialect sites, including site IDs, site names, and linguistic subgroupings (e.g., Mandarin, Yue, Min, Hakka, Xiang, Wu, and Gan). This serves as a foundational component for the Chinese dialect speech-to-speech retrieval benchmark introduced in the paper "Towards Comprehensive Semantic Speech Embeddings for Chinese Dialects."
Data Structure
The dataset contains the following features:
site_id: Unique identifier for the collection point.site: The location name (Province_City_District).subgrouping: The major Chinese dialect subgroup.sentences: A list of parallel sentences available for that site.
Usage
You can download the site metadata using the Hugging Face CLI:
hf download kalbin/yubao_sites --repo-type dataset
To assemble the full retrieval benchmark, please follow the instructions in the official GitHub repository.
Citation
If you use this dataset, please cite the following:
@article{chang2026yubao,
author = {Kalvin Chang and Yiwen Shao and Jiahong Li and Dong Yu},
title = {Towards Comprehensive Semantic Speech Embeddings for Chinese Dialects},
journal = {arXiv preprint arXiv: 2601.07274},
year = {2026}
}
@misc{yubao,
author = {{Centre for the Protection of Language Resources of China}},
title = {The Chinese Language Resources Protection Project Collection and Display Platform},
url = "https://zhongguoyuyan.cn",
month = "",
year = 2023,
annote = ""
}
@inproceedings{ma-etal-2025-cross,
title = "Cross-Lingual Transfer Learning for Speech Translation",
author = "Ma, Rao and
Qian, Mengjie and
Fathullah, Yassir and
Tang, Siyuan and
Gales, Mark and
Knill, Kate",
booktitle = "Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)",
month = apr,
year = "2025",
url = "https://aclanthology.org/2025.naacl-short.4/",
doi = "10.18653/v1/2025.naacl-short.4",
}
License
The audio and video copyrights belong to the Centre for the Protection of Language Resources of China.