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. 🚀
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.
Acknowoledgement
Special thanks to Eons Data Communications Limited and Votee AI for the compute resources to download and process the Common Crawl Dumps.