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@@ -17,3 +17,7 @@ The result is a high-quality collection of **~200K unique documents** containing
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* Cantonese text filtered using [CantoneseDetect](https://github.com/CanCLID/cantonesedetect) and the resultant dataset can be found [here](https://huggingface.co/datasets/jed351/Cantonese_Common_Crawl_Filtered)
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* Using MinHash deduplication to yield the final web dataset (Wikipedia and LIHKG excluded)
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* Cantonese text filtered using [CantoneseDetect](https://github.com/CanCLID/cantonesedetect) and the resultant dataset can be found [here](https://huggingface.co/datasets/jed351/Cantonese_Common_Crawl_Filtered)
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* Using MinHash deduplication to yield the final web dataset (Wikipedia and LIHKG excluded)
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### Dataset Files
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[CantoneseDetect](https://github.com/CanCLID/cantonesedetect) has two modes: fully Cantonese text or Cantonese text that only present in quotes.
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Both sets of data were cleaned with MinHash and are present in the dataset.
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