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--- |
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language: |
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- zh |
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- yue |
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--- |
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### Dataset Summary |
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Cantonese has been a low-resource language in NLP. This dataset is a major step towards changing that. |
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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. |
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The result is a high-quality collection of **~250K unique documents** containing **~150 million words**. 🚀 |
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### Dataset Curation Process |
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* Downloaded and processed Common Crawl using [code](https://github.com/jedcheng/c4-dataset-script) |
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* The resultant traditional Chinese dataset can be found [here](https://huggingface.co/datasets/jed351/Traditional-Chinese-Common-Crawl-Filtered) |
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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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### Acknowoledgement |
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Special thanks to [Eons Data Communications Limited](https://eons.cloud/) and [Votee AI](https://votee.ai/) for the compute resources to download and process the Common Crawl Dumps. |
