metadata
language:
- zh
- yue
Dataset Summary
Cantonese has been a low-resource language in NLP. This dataset is a major step towards changing that.
To our knowledge, this is the first large-scale, properly curated, and deduplicated web dataset built specifically for Cantonese. It was created by filtering years of Common Crawl data and a Cantonese language detector, followed by a deduplication process using MinHash.
The result is a high-quality collection of ~250K unique documents containing ~150 million words. (as of now with the 2020~2025 dumps) 🚀
Dataset Curation Process
- Downloaded and processed Common Crawl using code
- The resultant traditional Chinese dataset can be found here
- Cantonese text filtered using CantoneseDetect and the resultant dataset can be found here
- Using MinHash deduplication to yield the final web dataset (Wikipedia and LIHKG excluded)
Dataset Files
CantoneseDetect has two modes: fully Cantonese text or Cantonese text that only present in quotes.
Both sets of data were cleaned with MinHash and are present in the dataset.