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  # HuggingFaceFW/fineweb filter Malaysian context
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- Originally from https://huggingface.co/datasets/HuggingFaceFW/fineweb, source code at https://github.com/mesolitica/malaysian-dataset/tree/master/corpus/fineweb
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- 1. we filter rows using `{'malay', 'malaysia', 'melayu', 'bursa', 'ringgit'}` keywords
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- 2. using r5.16xlarge EC2 instance to filters
 
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  # HuggingFaceFW/fineweb filter Malaysian context
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+ ## What is it?
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+ We filter the original 🍷 FineWeb dataset that consists more than **15T tokens** on simple Malaysian keywords.
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+ Total tokens for the filtered dataset is 174102784199 tokens, **174B tokens**.
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+ ## How we do it?
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+ 1. We filter rows using `{'malay', 'malaysia', 'melayu', 'bursa', 'ringgit'}` keywords on r5.16xlarge EC2 instance for 7 days.
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+ 2. We calculate total tokens using `tiktoken.encoding_for_model("gpt2")` on c7a.24xlarge EC2 instance for 1 hour.
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+ source code at https://github.com/mesolitica/malaysian-dataset/tree/master/corpus/fineweb
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+ ## Why we do it?
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+ So anybody can use this filtered corpus to pretrain, continue pretraining or generate synthetic dataset for their own use cases.
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