Datasets:
Tasks:
Translation
Modalities:
Text
Formats:
json
Languages:
Chinese
Size:
100K - 1M
Tags:
machine translation
License:
| license: cc-by-4.0 | |
| task_categories: | |
| - translation | |
| language: | |
| - zh | |
| size_categories: | |
| - 100M<n<1B | |
| tags: | |
| - machine translation | |
| ### Dataset Summary | |
| This dataset consists of parallel sentence pairs in Cantonese and Chinese. It is designed for various tasks, including machine translation. | |
| The corpus contains a large number of sentence pairs collected from various domains and most has been improved through manual correction and translation. | |
| ### Languages | |
| - Cantonese (`yue`) | |
| - Simplified Chinese (`zh`) | |
| ### Dataset Structure | |
| Each entry in the dataset is a JSON object containing two fields: "yue" for the Cantonese sentence and "zh" for the corresponding Chinese sentence. | |
| ### Citation | |
| If you find our work helpful, feel free to give us a cite. | |
| ``` | |
| @inproceedings{dai2025next, | |
| title={Next-Level Cantonese-to-Mandarin Translation: Fine-Tuning and Post-Processing with LLMs}, | |
| author={Dai, Yuqian and Chan, Chun Fai and Wong, Ying Ki and Pun, Tsz Ho}, | |
| booktitle={Proceedings of the First Workshop on Language Models for Low-Resource Languages}, | |
| pages={427--436}, | |
| year={2025} | |
| } | |
| ``` |